Commit
·
80764b4
1
Parent(s):
52626a8
First model version
Browse files- .gitattributes +1 -0
- bloomz-3b-wiki-detector/.gitattributes +34 -0
- bloomz-3b-wiki-detector/README.md +3 -0
- bloomz-3b-wiki-detector/config.json +42 -0
- bloomz-3b-wiki-detector/optimizer.pt +3 -0
- bloomz-3b-wiki-detector/pytorch_model-00001-of-00002.bin +3 -0
- bloomz-3b-wiki-detector/pytorch_model-00002-of-00002.bin +3 -0
- bloomz-3b-wiki-detector/pytorch_model.bin.index.json +373 -0
- bloomz-3b-wiki-detector/rng_state.pth +3 -0
- bloomz-3b-wiki-detector/scheduler.pt +3 -0
- bloomz-3b-wiki-detector/special_tokens_map.json +6 -0
- bloomz-3b-wiki-detector/tokenizer.json +3 -0
- bloomz-3b-wiki-detector/tokenizer_config.json +11 -0
- bloomz-3b-wiki-detector/trainer_state.json +958 -0
- bloomz-3b-wiki-detector/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
bloomz-3b-wiki-detector/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
bloomz-3b-wiki-detector/.gitattributes
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
bloomz-3b-wiki-detector/README.md
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: bigscience-openrail-m
|
| 3 |
+
---
|
bloomz-3b-wiki-detector/config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bigscience/bloomz-3b",
|
| 3 |
+
"apply_residual_connection_post_layernorm": false,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"BloomForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"attention_softmax_in_fp32": true,
|
| 9 |
+
"bias_dropout_fusion": true,
|
| 10 |
+
"bos_token_id": 1,
|
| 11 |
+
"eos_token_id": 2,
|
| 12 |
+
"hidden_dropout": 0.0,
|
| 13 |
+
"hidden_size": 2560,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "human-produced",
|
| 16 |
+
"1": "machine-generated"
|
| 17 |
+
},
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"label2id": {
|
| 20 |
+
"human-produced": 0,
|
| 21 |
+
"machine-generated": 1
|
| 22 |
+
},
|
| 23 |
+
"layer_norm_epsilon": 1e-05,
|
| 24 |
+
"masked_softmax_fusion": true,
|
| 25 |
+
"model_type": "bloom",
|
| 26 |
+
"n_head": 32,
|
| 27 |
+
"n_inner": null,
|
| 28 |
+
"n_layer": 30,
|
| 29 |
+
"offset_alibi": 100,
|
| 30 |
+
"pad_token_id": 3,
|
| 31 |
+
"pretraining_tp": 4,
|
| 32 |
+
"problem_type": "single_label_classification",
|
| 33 |
+
"seq_length": 2048,
|
| 34 |
+
"skip_bias_add": true,
|
| 35 |
+
"skip_bias_add_qkv": false,
|
| 36 |
+
"slow_but_exact": false,
|
| 37 |
+
"torch_dtype": "float32",
|
| 38 |
+
"transformers_version": "4.26.1",
|
| 39 |
+
"unk_token_id": 0,
|
| 40 |
+
"use_cache": true,
|
| 41 |
+
"vocab_size": 250880
|
| 42 |
+
}
|
bloomz-3b-wiki-detector/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b64001d03fa321c495e3daa63890b33da0456dec15b8ff792051b2ef0cc30860
|
| 3 |
+
size 24020817451
|
bloomz-3b-wiki-detector/pytorch_model-00001-of-00002.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e9c13dd4976bc679fb0101b908151052b22e6179b27a014af6449ebb3eaeeba
|
| 3 |
+
size 9912311464
|
bloomz-3b-wiki-detector/pytorch_model-00002-of-00002.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b1364feace0926ed882f20865804f7772986aec18284c639ef535a9a78bc4a6
|
| 3 |
+
size 2098070557
|
bloomz-3b-wiki-detector/pytorch_model.bin.index.json
ADDED
|
@@ -0,0 +1,373 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 12010250240
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"score.weight": "pytorch_model-00002-of-00002.bin",
|
| 7 |
+
"transformer.h.0.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 8 |
+
"transformer.h.0.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 9 |
+
"transformer.h.0.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 10 |
+
"transformer.h.0.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 11 |
+
"transformer.h.0.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 12 |
+
"transformer.h.0.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 13 |
+
"transformer.h.0.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 14 |
+
"transformer.h.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 15 |
+
"transformer.h.0.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 16 |
+
"transformer.h.0.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 17 |
+
"transformer.h.0.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 18 |
+
"transformer.h.0.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 19 |
+
"transformer.h.1.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 20 |
+
"transformer.h.1.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 21 |
+
"transformer.h.1.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 22 |
+
"transformer.h.1.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 23 |
+
"transformer.h.1.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 24 |
+
"transformer.h.1.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 25 |
+
"transformer.h.1.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 26 |
+
"transformer.h.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 27 |
+
"transformer.h.1.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 28 |
+
"transformer.h.1.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 29 |
+
"transformer.h.1.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 30 |
+
"transformer.h.1.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 31 |
+
"transformer.h.10.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 32 |
+
"transformer.h.10.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 33 |
+
"transformer.h.10.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 34 |
+
"transformer.h.10.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 35 |
+
"transformer.h.10.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 36 |
+
"transformer.h.10.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 37 |
+
"transformer.h.10.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 38 |
+
"transformer.h.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 39 |
+
"transformer.h.10.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 40 |
+
"transformer.h.10.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 41 |
+
"transformer.h.10.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 42 |
+
"transformer.h.10.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 43 |
+
"transformer.h.11.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 44 |
+
"transformer.h.11.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 45 |
+
"transformer.h.11.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 46 |
+
"transformer.h.11.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 47 |
+
"transformer.h.11.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 48 |
+
"transformer.h.11.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 49 |
+
"transformer.h.11.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 50 |
+
"transformer.h.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 51 |
+
"transformer.h.11.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 52 |
+
"transformer.h.11.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 53 |
+
"transformer.h.11.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 54 |
+
"transformer.h.11.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 55 |
+
"transformer.h.12.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 56 |
+
"transformer.h.12.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 57 |
+
"transformer.h.12.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 58 |
+
"transformer.h.12.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 59 |
+
"transformer.h.12.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 60 |
+
"transformer.h.12.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 61 |
+
"transformer.h.12.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 62 |
+
"transformer.h.12.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 63 |
+
"transformer.h.12.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 64 |
+
"transformer.h.12.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 65 |
+
"transformer.h.12.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 66 |
+
"transformer.h.12.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 67 |
+
"transformer.h.13.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 68 |
+
"transformer.h.13.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 69 |
+
"transformer.h.13.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 70 |
+
"transformer.h.13.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 71 |
+
"transformer.h.13.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 72 |
+
"transformer.h.13.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 73 |
+
"transformer.h.13.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 74 |
+
"transformer.h.13.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 75 |
+
"transformer.h.13.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 76 |
+
"transformer.h.13.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 77 |
+
"transformer.h.13.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 78 |
+
"transformer.h.13.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 79 |
+
"transformer.h.14.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 80 |
+
"transformer.h.14.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 81 |
+
"transformer.h.14.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 82 |
+
"transformer.h.14.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 83 |
+
"transformer.h.14.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 84 |
+
"transformer.h.14.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 85 |
+
"transformer.h.14.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 86 |
+
"transformer.h.14.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 87 |
+
"transformer.h.14.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 88 |
+
"transformer.h.14.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 89 |
+
"transformer.h.14.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 90 |
+
"transformer.h.14.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 91 |
+
"transformer.h.15.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 92 |
+
"transformer.h.15.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 93 |
+
"transformer.h.15.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 94 |
+
"transformer.h.15.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 95 |
+
"transformer.h.15.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 96 |
+
"transformer.h.15.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 97 |
+
"transformer.h.15.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 98 |
+
"transformer.h.15.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 99 |
+
"transformer.h.15.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 100 |
+
"transformer.h.15.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 101 |
+
"transformer.h.15.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 102 |
+
"transformer.h.15.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 103 |
+
"transformer.h.16.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 104 |
+
"transformer.h.16.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 105 |
+
"transformer.h.16.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 106 |
+
"transformer.h.16.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 107 |
+
"transformer.h.16.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 108 |
+
"transformer.h.16.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 109 |
+
"transformer.h.16.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 110 |
+
"transformer.h.16.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 111 |
+
"transformer.h.16.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 112 |
+
"transformer.h.16.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 113 |
+
"transformer.h.16.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 114 |
+
"transformer.h.16.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 115 |
+
"transformer.h.17.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 116 |
+
"transformer.h.17.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 117 |
+
"transformer.h.17.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 118 |
+
"transformer.h.17.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 119 |
+
"transformer.h.17.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 120 |
+
"transformer.h.17.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 121 |
+
"transformer.h.17.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 122 |
+
"transformer.h.17.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 123 |
+
"transformer.h.17.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 124 |
+
"transformer.h.17.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 125 |
+
"transformer.h.17.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 126 |
+
"transformer.h.17.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 127 |
+
"transformer.h.18.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 128 |
+
"transformer.h.18.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 129 |
+
"transformer.h.18.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 130 |
+
"transformer.h.18.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 131 |
+
"transformer.h.18.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 132 |
+
"transformer.h.18.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 133 |
+
"transformer.h.18.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 134 |
+
"transformer.h.18.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 135 |
+
"transformer.h.18.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 136 |
+
"transformer.h.18.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 137 |
+
"transformer.h.18.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 138 |
+
"transformer.h.18.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 139 |
+
"transformer.h.19.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 140 |
+
"transformer.h.19.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 141 |
+
"transformer.h.19.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 142 |
+
"transformer.h.19.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 143 |
+
"transformer.h.19.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 144 |
+
"transformer.h.19.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 145 |
+
"transformer.h.19.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 146 |
+
"transformer.h.19.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 147 |
+
"transformer.h.19.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 148 |
+
"transformer.h.19.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 149 |
+
"transformer.h.19.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 150 |
+
"transformer.h.19.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 151 |
+
"transformer.h.2.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 152 |
+
"transformer.h.2.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 153 |
+
"transformer.h.2.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 154 |
+
"transformer.h.2.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 155 |
+
"transformer.h.2.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 156 |
+
"transformer.h.2.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 157 |
+
"transformer.h.2.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 158 |
+
"transformer.h.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 159 |
+
"transformer.h.2.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 160 |
+
"transformer.h.2.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 161 |
+
"transformer.h.2.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 162 |
+
"transformer.h.2.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 163 |
+
"transformer.h.20.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 164 |
+
"transformer.h.20.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 165 |
+
"transformer.h.20.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 166 |
+
"transformer.h.20.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 167 |
+
"transformer.h.20.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 168 |
+
"transformer.h.20.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 169 |
+
"transformer.h.20.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 170 |
+
"transformer.h.20.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 171 |
+
"transformer.h.20.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 172 |
+
"transformer.h.20.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 173 |
+
"transformer.h.20.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 174 |
+
"transformer.h.20.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 175 |
+
"transformer.h.21.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 176 |
+
"transformer.h.21.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 177 |
+
"transformer.h.21.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 178 |
+
"transformer.h.21.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 179 |
+
"transformer.h.21.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 180 |
+
"transformer.h.21.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 181 |
+
"transformer.h.21.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 182 |
+
"transformer.h.21.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 183 |
+
"transformer.h.21.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 184 |
+
"transformer.h.21.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 185 |
+
"transformer.h.21.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 186 |
+
"transformer.h.21.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 187 |
+
"transformer.h.22.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 188 |
+
"transformer.h.22.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 189 |
+
"transformer.h.22.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 190 |
+
"transformer.h.22.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 191 |
+
"transformer.h.22.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 192 |
+
"transformer.h.22.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 193 |
+
"transformer.h.22.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 194 |
+
"transformer.h.22.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 195 |
+
"transformer.h.22.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 196 |
+
"transformer.h.22.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 197 |
+
"transformer.h.22.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 198 |
+
"transformer.h.22.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 199 |
+
"transformer.h.23.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 200 |
+
"transformer.h.23.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 201 |
+
"transformer.h.23.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 202 |
+
"transformer.h.23.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 203 |
+
"transformer.h.23.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 204 |
+
"transformer.h.23.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 205 |
+
"transformer.h.23.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 206 |
+
"transformer.h.23.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 207 |
+
"transformer.h.23.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 208 |
+
"transformer.h.23.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 209 |
+
"transformer.h.23.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 210 |
+
"transformer.h.23.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 211 |
+
"transformer.h.24.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 212 |
+
"transformer.h.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 213 |
+
"transformer.h.24.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 214 |
+
"transformer.h.24.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 215 |
+
"transformer.h.24.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 216 |
+
"transformer.h.24.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 217 |
+
"transformer.h.24.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 218 |
+
"transformer.h.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 219 |
+
"transformer.h.24.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 220 |
+
"transformer.h.24.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 221 |
+
"transformer.h.24.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 222 |
+
"transformer.h.24.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 223 |
+
"transformer.h.25.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 224 |
+
"transformer.h.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 225 |
+
"transformer.h.25.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 226 |
+
"transformer.h.25.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 227 |
+
"transformer.h.25.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 228 |
+
"transformer.h.25.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 229 |
+
"transformer.h.25.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 230 |
+
"transformer.h.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 231 |
+
"transformer.h.25.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 232 |
+
"transformer.h.25.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 233 |
+
"transformer.h.25.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 234 |
+
"transformer.h.25.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 235 |
+
"transformer.h.26.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 236 |
+
"transformer.h.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 237 |
+
"transformer.h.26.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 238 |
+
"transformer.h.26.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 239 |
+
"transformer.h.26.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 240 |
+
"transformer.h.26.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 241 |
+
"transformer.h.26.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 242 |
+
"transformer.h.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 243 |
+
"transformer.h.26.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 244 |
+
"transformer.h.26.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 245 |
+
"transformer.h.26.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 246 |
+
"transformer.h.26.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 247 |
+
"transformer.h.27.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 248 |
+
"transformer.h.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 249 |
+
"transformer.h.27.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 250 |
+
"transformer.h.27.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 251 |
+
"transformer.h.27.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 252 |
+
"transformer.h.27.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 253 |
+
"transformer.h.27.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 254 |
+
"transformer.h.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 255 |
+
"transformer.h.27.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 256 |
+
"transformer.h.27.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 257 |
+
"transformer.h.27.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 258 |
+
"transformer.h.27.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 259 |
+
"transformer.h.28.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 260 |
+
"transformer.h.28.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 261 |
+
"transformer.h.28.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 262 |
+
"transformer.h.28.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 263 |
+
"transformer.h.28.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 264 |
+
"transformer.h.28.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 265 |
+
"transformer.h.28.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 266 |
+
"transformer.h.28.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 267 |
+
"transformer.h.28.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 268 |
+
"transformer.h.28.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 269 |
+
"transformer.h.28.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 270 |
+
"transformer.h.28.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 271 |
+
"transformer.h.29.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 272 |
+
"transformer.h.29.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 273 |
+
"transformer.h.29.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
| 274 |
+
"transformer.h.29.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
| 275 |
+
"transformer.h.29.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
| 276 |
+
"transformer.h.29.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
| 277 |
+
"transformer.h.29.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
| 278 |
+
"transformer.h.29.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
| 279 |
+
"transformer.h.29.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
| 280 |
+
"transformer.h.29.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
| 281 |
+
"transformer.h.29.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
| 282 |
+
"transformer.h.29.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
| 283 |
+
"transformer.h.3.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 284 |
+
"transformer.h.3.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 285 |
+
"transformer.h.3.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 286 |
+
"transformer.h.3.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 287 |
+
"transformer.h.3.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 288 |
+
"transformer.h.3.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 289 |
+
"transformer.h.3.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 290 |
+
"transformer.h.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 291 |
+
"transformer.h.3.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 292 |
+
"transformer.h.3.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 293 |
+
"transformer.h.3.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 294 |
+
"transformer.h.3.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 295 |
+
"transformer.h.4.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 296 |
+
"transformer.h.4.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 297 |
+
"transformer.h.4.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 298 |
+
"transformer.h.4.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 299 |
+
"transformer.h.4.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 300 |
+
"transformer.h.4.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 301 |
+
"transformer.h.4.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 302 |
+
"transformer.h.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 303 |
+
"transformer.h.4.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 304 |
+
"transformer.h.4.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 305 |
+
"transformer.h.4.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 306 |
+
"transformer.h.4.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 307 |
+
"transformer.h.5.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 308 |
+
"transformer.h.5.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 309 |
+
"transformer.h.5.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 310 |
+
"transformer.h.5.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 311 |
+
"transformer.h.5.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 312 |
+
"transformer.h.5.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 313 |
+
"transformer.h.5.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 314 |
+
"transformer.h.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 315 |
+
"transformer.h.5.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 316 |
+
"transformer.h.5.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 317 |
+
"transformer.h.5.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 318 |
+
"transformer.h.5.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 319 |
+
"transformer.h.6.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 320 |
+
"transformer.h.6.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 321 |
+
"transformer.h.6.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 322 |
+
"transformer.h.6.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 323 |
+
"transformer.h.6.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 324 |
+
"transformer.h.6.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 325 |
+
"transformer.h.6.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 326 |
+
"transformer.h.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 327 |
+
"transformer.h.6.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 328 |
+
"transformer.h.6.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 329 |
+
"transformer.h.6.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 330 |
+
"transformer.h.6.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 331 |
+
"transformer.h.7.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 332 |
+
"transformer.h.7.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 333 |
+
"transformer.h.7.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 334 |
+
"transformer.h.7.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 335 |
+
"transformer.h.7.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 336 |
+
"transformer.h.7.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 337 |
+
"transformer.h.7.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 338 |
+
"transformer.h.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 339 |
+
"transformer.h.7.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 340 |
+
"transformer.h.7.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 341 |
+
"transformer.h.7.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 342 |
+
"transformer.h.7.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 343 |
+
"transformer.h.8.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 344 |
+
"transformer.h.8.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 345 |
+
"transformer.h.8.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 346 |
+
"transformer.h.8.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 347 |
+
"transformer.h.8.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 348 |
+
"transformer.h.8.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 349 |
+
"transformer.h.8.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 350 |
+
"transformer.h.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 351 |
+
"transformer.h.8.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 352 |
+
"transformer.h.8.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 353 |
+
"transformer.h.8.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 354 |
+
"transformer.h.8.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 355 |
+
"transformer.h.9.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 356 |
+
"transformer.h.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 357 |
+
"transformer.h.9.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
| 358 |
+
"transformer.h.9.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
| 359 |
+
"transformer.h.9.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
| 360 |
+
"transformer.h.9.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
| 361 |
+
"transformer.h.9.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 362 |
+
"transformer.h.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
| 363 |
+
"transformer.h.9.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
| 364 |
+
"transformer.h.9.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
| 365 |
+
"transformer.h.9.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
| 366 |
+
"transformer.h.9.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
| 367 |
+
"transformer.ln_f.bias": "pytorch_model-00002-of-00002.bin",
|
| 368 |
+
"transformer.ln_f.weight": "pytorch_model-00002-of-00002.bin",
|
| 369 |
+
"transformer.word_embeddings.weight": "pytorch_model-00001-of-00002.bin",
|
| 370 |
+
"transformer.word_embeddings_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
| 371 |
+
"transformer.word_embeddings_layernorm.weight": "pytorch_model-00001-of-00002.bin"
|
| 372 |
+
}
|
| 373 |
+
}
|
bloomz-3b-wiki-detector/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3b02872efa9b22fa22f4deee5fb41af138889bf8a548937b6683ecfa852526b
|
| 3 |
+
size 14575
|
bloomz-3b-wiki-detector/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9968ee36f5a3dc05d57e9af7404cae1954951f16b3829b648a9ef3496e8c5388
|
| 3 |
+
size 627
|
bloomz-3b-wiki-detector/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
bloomz-3b-wiki-detector/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3955d17bdf8285663734ab4418c7a0d6397bf2fa7d7a2f8d820f23b3130cd48
|
| 3 |
+
size 14500708
|
bloomz-3b-wiki-detector/tokenizer_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 6 |
+
"name_or_path": "bigscience/bloomz-3b",
|
| 7 |
+
"pad_token": "<pad>",
|
| 8 |
+
"special_tokens_map_file": null,
|
| 9 |
+
"tokenizer_class": "BloomTokenizer",
|
| 10 |
+
"unk_token": "<unk>"
|
| 11 |
+
}
|
bloomz-3b-wiki-detector/trainer_state.json
ADDED
|
@@ -0,0 +1,958 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 525,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.0,
|
| 12 |
+
"learning_rate": 4.990476190476191e-05,
|
| 13 |
+
"loss": 5.664,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.02,
|
| 18 |
+
"learning_rate": 4.904761904761905e-05,
|
| 19 |
+
"loss": 9.846,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.02,
|
| 24 |
+
"eval_accuracy": 0.5555555555555556,
|
| 25 |
+
"eval_f1": 0.21875,
|
| 26 |
+
"eval_loss": 2.4790709018707275,
|
| 27 |
+
"eval_precision": 0.9032258064516129,
|
| 28 |
+
"eval_recall": 0.12444444444444444,
|
| 29 |
+
"eval_runtime": 140.7243,
|
| 30 |
+
"eval_samples_per_second": 6.395,
|
| 31 |
+
"eval_steps_per_second": 0.803,
|
| 32 |
+
"step": 10
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.04,
|
| 36 |
+
"learning_rate": 4.80952380952381e-05,
|
| 37 |
+
"loss": 1.7358,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.04,
|
| 42 |
+
"eval_accuracy": 0.5,
|
| 43 |
+
"eval_f1": 0.6666666666666666,
|
| 44 |
+
"eval_loss": 3.0108251571655273,
|
| 45 |
+
"eval_precision": 0.5,
|
| 46 |
+
"eval_recall": 1.0,
|
| 47 |
+
"eval_runtime": 141.288,
|
| 48 |
+
"eval_samples_per_second": 6.37,
|
| 49 |
+
"eval_steps_per_second": 0.8,
|
| 50 |
+
"step": 20
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.06,
|
| 54 |
+
"learning_rate": 4.714285714285714e-05,
|
| 55 |
+
"loss": 1.297,
|
| 56 |
+
"step": 30
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.06,
|
| 60 |
+
"eval_accuracy": 0.7755555555555556,
|
| 61 |
+
"eval_f1": 0.8133086876155268,
|
| 62 |
+
"eval_loss": 0.4418047368526459,
|
| 63 |
+
"eval_precision": 0.6962025316455697,
|
| 64 |
+
"eval_recall": 0.9777777777777777,
|
| 65 |
+
"eval_runtime": 141.1286,
|
| 66 |
+
"eval_samples_per_second": 6.377,
|
| 67 |
+
"eval_steps_per_second": 0.801,
|
| 68 |
+
"step": 30
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.08,
|
| 72 |
+
"learning_rate": 4.6190476190476194e-05,
|
| 73 |
+
"loss": 0.553,
|
| 74 |
+
"step": 40
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.08,
|
| 78 |
+
"eval_accuracy": 0.7233333333333334,
|
| 79 |
+
"eval_f1": 0.782532751091703,
|
| 80 |
+
"eval_loss": 1.0572720766067505,
|
| 81 |
+
"eval_precision": 0.6446043165467625,
|
| 82 |
+
"eval_recall": 0.9955555555555555,
|
| 83 |
+
"eval_runtime": 141.1362,
|
| 84 |
+
"eval_samples_per_second": 6.377,
|
| 85 |
+
"eval_steps_per_second": 0.801,
|
| 86 |
+
"step": 40
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.1,
|
| 90 |
+
"learning_rate": 4.523809523809524e-05,
|
| 91 |
+
"loss": 0.4696,
|
| 92 |
+
"step": 50
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.1,
|
| 96 |
+
"eval_accuracy": 0.9922222222222222,
|
| 97 |
+
"eval_f1": 0.9921612541993281,
|
| 98 |
+
"eval_loss": 0.11968932300806046,
|
| 99 |
+
"eval_precision": 1.0,
|
| 100 |
+
"eval_recall": 0.9844444444444445,
|
| 101 |
+
"eval_runtime": 141.141,
|
| 102 |
+
"eval_samples_per_second": 6.377,
|
| 103 |
+
"eval_steps_per_second": 0.801,
|
| 104 |
+
"step": 50
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.11,
|
| 108 |
+
"learning_rate": 4.428571428571428e-05,
|
| 109 |
+
"loss": 0.8216,
|
| 110 |
+
"step": 60
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.11,
|
| 114 |
+
"eval_accuracy": 0.9944444444444445,
|
| 115 |
+
"eval_f1": 0.9944506104328523,
|
| 116 |
+
"eval_loss": 0.026493508368730545,
|
| 117 |
+
"eval_precision": 0.9933481152993349,
|
| 118 |
+
"eval_recall": 0.9955555555555555,
|
| 119 |
+
"eval_runtime": 141.3296,
|
| 120 |
+
"eval_samples_per_second": 6.368,
|
| 121 |
+
"eval_steps_per_second": 0.8,
|
| 122 |
+
"step": 60
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.13,
|
| 126 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 127 |
+
"loss": 0.2496,
|
| 128 |
+
"step": 70
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.13,
|
| 132 |
+
"eval_accuracy": 0.9944444444444445,
|
| 133 |
+
"eval_f1": 0.9944134078212291,
|
| 134 |
+
"eval_loss": 0.04411568492650986,
|
| 135 |
+
"eval_precision": 1.0,
|
| 136 |
+
"eval_recall": 0.9888888888888889,
|
| 137 |
+
"eval_runtime": 141.5358,
|
| 138 |
+
"eval_samples_per_second": 6.359,
|
| 139 |
+
"eval_steps_per_second": 0.798,
|
| 140 |
+
"step": 70
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.15,
|
| 144 |
+
"learning_rate": 4.2380952380952385e-05,
|
| 145 |
+
"loss": 0.1525,
|
| 146 |
+
"step": 80
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.15,
|
| 150 |
+
"eval_accuracy": 0.9722222222222222,
|
| 151 |
+
"eval_f1": 0.9716874292185731,
|
| 152 |
+
"eval_loss": 0.17274101078510284,
|
| 153 |
+
"eval_precision": 0.9907621247113164,
|
| 154 |
+
"eval_recall": 0.9533333333333334,
|
| 155 |
+
"eval_runtime": 141.1637,
|
| 156 |
+
"eval_samples_per_second": 6.376,
|
| 157 |
+
"eval_steps_per_second": 0.8,
|
| 158 |
+
"step": 80
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.17,
|
| 162 |
+
"learning_rate": 4.1428571428571437e-05,
|
| 163 |
+
"loss": 0.1757,
|
| 164 |
+
"step": 90
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.17,
|
| 168 |
+
"eval_accuracy": 0.6644444444444444,
|
| 169 |
+
"eval_f1": 0.747068676716918,
|
| 170 |
+
"eval_loss": 1.6221429109573364,
|
| 171 |
+
"eval_precision": 0.5994623655913979,
|
| 172 |
+
"eval_recall": 0.9911111111111112,
|
| 173 |
+
"eval_runtime": 141.238,
|
| 174 |
+
"eval_samples_per_second": 6.372,
|
| 175 |
+
"eval_steps_per_second": 0.8,
|
| 176 |
+
"step": 90
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.19,
|
| 180 |
+
"learning_rate": 4.047619047619048e-05,
|
| 181 |
+
"loss": 0.4925,
|
| 182 |
+
"step": 100
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.19,
|
| 186 |
+
"eval_accuracy": 0.9766666666666667,
|
| 187 |
+
"eval_f1": 0.9761092150170648,
|
| 188 |
+
"eval_loss": 0.3036443293094635,
|
| 189 |
+
"eval_precision": 1.0,
|
| 190 |
+
"eval_recall": 0.9533333333333334,
|
| 191 |
+
"eval_runtime": 141.1799,
|
| 192 |
+
"eval_samples_per_second": 6.375,
|
| 193 |
+
"eval_steps_per_second": 0.8,
|
| 194 |
+
"step": 100
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.21,
|
| 198 |
+
"learning_rate": 3.9523809523809526e-05,
|
| 199 |
+
"loss": 0.3225,
|
| 200 |
+
"step": 110
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.21,
|
| 204 |
+
"eval_accuracy": 0.9855555555555555,
|
| 205 |
+
"eval_f1": 0.9853438556933485,
|
| 206 |
+
"eval_loss": 0.14187519252300262,
|
| 207 |
+
"eval_precision": 1.0,
|
| 208 |
+
"eval_recall": 0.9711111111111111,
|
| 209 |
+
"eval_runtime": 141.1308,
|
| 210 |
+
"eval_samples_per_second": 6.377,
|
| 211 |
+
"eval_steps_per_second": 0.801,
|
| 212 |
+
"step": 110
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.23,
|
| 216 |
+
"learning_rate": 3.857142857142858e-05,
|
| 217 |
+
"loss": 0.9088,
|
| 218 |
+
"step": 120
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.23,
|
| 222 |
+
"eval_accuracy": 0.9788888888888889,
|
| 223 |
+
"eval_f1": 0.9784335981838819,
|
| 224 |
+
"eval_loss": 0.28491899371147156,
|
| 225 |
+
"eval_precision": 1.0,
|
| 226 |
+
"eval_recall": 0.9577777777777777,
|
| 227 |
+
"eval_runtime": 141.8534,
|
| 228 |
+
"eval_samples_per_second": 6.345,
|
| 229 |
+
"eval_steps_per_second": 0.797,
|
| 230 |
+
"step": 120
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.25,
|
| 234 |
+
"learning_rate": 3.761904761904762e-05,
|
| 235 |
+
"loss": 0.3186,
|
| 236 |
+
"step": 130
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.25,
|
| 240 |
+
"eval_accuracy": 0.9866666666666667,
|
| 241 |
+
"eval_f1": 0.9864864864864865,
|
| 242 |
+
"eval_loss": 0.23162652552127838,
|
| 243 |
+
"eval_precision": 1.0,
|
| 244 |
+
"eval_recall": 0.9733333333333334,
|
| 245 |
+
"eval_runtime": 141.2919,
|
| 246 |
+
"eval_samples_per_second": 6.37,
|
| 247 |
+
"eval_steps_per_second": 0.8,
|
| 248 |
+
"step": 130
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.27,
|
| 252 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 253 |
+
"loss": 0.4019,
|
| 254 |
+
"step": 140
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.27,
|
| 258 |
+
"eval_accuracy": 0.9277777777777778,
|
| 259 |
+
"eval_f1": 0.9221556886227544,
|
| 260 |
+
"eval_loss": 1.4866257905960083,
|
| 261 |
+
"eval_precision": 1.0,
|
| 262 |
+
"eval_recall": 0.8555555555555555,
|
| 263 |
+
"eval_runtime": 141.5133,
|
| 264 |
+
"eval_samples_per_second": 6.36,
|
| 265 |
+
"eval_steps_per_second": 0.799,
|
| 266 |
+
"step": 140
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.29,
|
| 270 |
+
"learning_rate": 3.571428571428572e-05,
|
| 271 |
+
"loss": 1.3601,
|
| 272 |
+
"step": 150
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.29,
|
| 276 |
+
"eval_accuracy": 0.7233333333333334,
|
| 277 |
+
"eval_f1": 0.782532751091703,
|
| 278 |
+
"eval_loss": 3.7794864177703857,
|
| 279 |
+
"eval_precision": 0.6446043165467625,
|
| 280 |
+
"eval_recall": 0.9955555555555555,
|
| 281 |
+
"eval_runtime": 141.4729,
|
| 282 |
+
"eval_samples_per_second": 6.362,
|
| 283 |
+
"eval_steps_per_second": 0.799,
|
| 284 |
+
"step": 150
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.3,
|
| 288 |
+
"learning_rate": 3.476190476190476e-05,
|
| 289 |
+
"loss": 0.795,
|
| 290 |
+
"step": 160
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.3,
|
| 294 |
+
"eval_accuracy": 0.9866666666666667,
|
| 295 |
+
"eval_f1": 0.9864864864864865,
|
| 296 |
+
"eval_loss": 0.30650249123573303,
|
| 297 |
+
"eval_precision": 1.0,
|
| 298 |
+
"eval_recall": 0.9733333333333334,
|
| 299 |
+
"eval_runtime": 141.9743,
|
| 300 |
+
"eval_samples_per_second": 6.339,
|
| 301 |
+
"eval_steps_per_second": 0.796,
|
| 302 |
+
"step": 160
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.32,
|
| 306 |
+
"learning_rate": 3.380952380952381e-05,
|
| 307 |
+
"loss": 0.3756,
|
| 308 |
+
"step": 170
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.32,
|
| 312 |
+
"eval_accuracy": 0.9922222222222222,
|
| 313 |
+
"eval_f1": 0.992248062015504,
|
| 314 |
+
"eval_loss": 0.10177851468324661,
|
| 315 |
+
"eval_precision": 0.9889624724061811,
|
| 316 |
+
"eval_recall": 0.9955555555555555,
|
| 317 |
+
"eval_runtime": 141.4364,
|
| 318 |
+
"eval_samples_per_second": 6.363,
|
| 319 |
+
"eval_steps_per_second": 0.799,
|
| 320 |
+
"step": 170
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.34,
|
| 324 |
+
"learning_rate": 3.285714285714286e-05,
|
| 325 |
+
"loss": 0.1634,
|
| 326 |
+
"step": 180
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.34,
|
| 330 |
+
"eval_accuracy": 0.9955555555555555,
|
| 331 |
+
"eval_f1": 0.9955357142857144,
|
| 332 |
+
"eval_loss": 0.05739554017782211,
|
| 333 |
+
"eval_precision": 1.0,
|
| 334 |
+
"eval_recall": 0.9911111111111112,
|
| 335 |
+
"eval_runtime": 142.0812,
|
| 336 |
+
"eval_samples_per_second": 6.334,
|
| 337 |
+
"eval_steps_per_second": 0.795,
|
| 338 |
+
"step": 180
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.36,
|
| 342 |
+
"learning_rate": 3.19047619047619e-05,
|
| 343 |
+
"loss": 0.0,
|
| 344 |
+
"step": 190
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.36,
|
| 348 |
+
"eval_accuracy": 0.9966666666666667,
|
| 349 |
+
"eval_f1": 0.9966555183946488,
|
| 350 |
+
"eval_loss": 0.04873024299740791,
|
| 351 |
+
"eval_precision": 1.0,
|
| 352 |
+
"eval_recall": 0.9933333333333333,
|
| 353 |
+
"eval_runtime": 141.2062,
|
| 354 |
+
"eval_samples_per_second": 6.374,
|
| 355 |
+
"eval_steps_per_second": 0.8,
|
| 356 |
+
"step": 190
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.38,
|
| 360 |
+
"learning_rate": 3.095238095238095e-05,
|
| 361 |
+
"loss": 0.0,
|
| 362 |
+
"step": 200
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.38,
|
| 366 |
+
"eval_accuracy": 0.9944444444444445,
|
| 367 |
+
"eval_f1": 0.9944134078212291,
|
| 368 |
+
"eval_loss": 0.06256787478923798,
|
| 369 |
+
"eval_precision": 1.0,
|
| 370 |
+
"eval_recall": 0.9888888888888889,
|
| 371 |
+
"eval_runtime": 141.0452,
|
| 372 |
+
"eval_samples_per_second": 6.381,
|
| 373 |
+
"eval_steps_per_second": 0.801,
|
| 374 |
+
"step": 200
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.4,
|
| 378 |
+
"learning_rate": 3e-05,
|
| 379 |
+
"loss": 0.0,
|
| 380 |
+
"step": 210
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.4,
|
| 384 |
+
"eval_accuracy": 0.9933333333333333,
|
| 385 |
+
"eval_f1": 0.9932885906040269,
|
| 386 |
+
"eval_loss": 0.06856151670217514,
|
| 387 |
+
"eval_precision": 1.0,
|
| 388 |
+
"eval_recall": 0.9866666666666667,
|
| 389 |
+
"eval_runtime": 141.9154,
|
| 390 |
+
"eval_samples_per_second": 6.342,
|
| 391 |
+
"eval_steps_per_second": 0.796,
|
| 392 |
+
"step": 210
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.42,
|
| 396 |
+
"learning_rate": 2.9047619047619052e-05,
|
| 397 |
+
"loss": 0.0,
|
| 398 |
+
"step": 220
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.42,
|
| 402 |
+
"eval_accuracy": 0.9933333333333333,
|
| 403 |
+
"eval_f1": 0.9932885906040269,
|
| 404 |
+
"eval_loss": 0.0719400942325592,
|
| 405 |
+
"eval_precision": 1.0,
|
| 406 |
+
"eval_recall": 0.9866666666666667,
|
| 407 |
+
"eval_runtime": 141.1046,
|
| 408 |
+
"eval_samples_per_second": 6.378,
|
| 409 |
+
"eval_steps_per_second": 0.801,
|
| 410 |
+
"step": 220
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.44,
|
| 414 |
+
"learning_rate": 2.8095238095238096e-05,
|
| 415 |
+
"loss": 0.0,
|
| 416 |
+
"step": 230
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.44,
|
| 420 |
+
"eval_accuracy": 0.9933333333333333,
|
| 421 |
+
"eval_f1": 0.9932885906040269,
|
| 422 |
+
"eval_loss": 0.07359585165977478,
|
| 423 |
+
"eval_precision": 1.0,
|
| 424 |
+
"eval_recall": 0.9866666666666667,
|
| 425 |
+
"eval_runtime": 141.0721,
|
| 426 |
+
"eval_samples_per_second": 6.38,
|
| 427 |
+
"eval_steps_per_second": 0.801,
|
| 428 |
+
"step": 230
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.46,
|
| 432 |
+
"learning_rate": 2.714285714285714e-05,
|
| 433 |
+
"loss": 0.0,
|
| 434 |
+
"step": 240
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.46,
|
| 438 |
+
"eval_accuracy": 0.9933333333333333,
|
| 439 |
+
"eval_f1": 0.9932885906040269,
|
| 440 |
+
"eval_loss": 0.07422058284282684,
|
| 441 |
+
"eval_precision": 1.0,
|
| 442 |
+
"eval_recall": 0.9866666666666667,
|
| 443 |
+
"eval_runtime": 141.0372,
|
| 444 |
+
"eval_samples_per_second": 6.381,
|
| 445 |
+
"eval_steps_per_second": 0.801,
|
| 446 |
+
"step": 240
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.48,
|
| 450 |
+
"learning_rate": 2.6190476190476192e-05,
|
| 451 |
+
"loss": 0.0,
|
| 452 |
+
"step": 250
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.48,
|
| 456 |
+
"eval_accuracy": 0.9933333333333333,
|
| 457 |
+
"eval_f1": 0.9932885906040269,
|
| 458 |
+
"eval_loss": 0.07448597997426987,
|
| 459 |
+
"eval_precision": 1.0,
|
| 460 |
+
"eval_recall": 0.9866666666666667,
|
| 461 |
+
"eval_runtime": 141.2024,
|
| 462 |
+
"eval_samples_per_second": 6.374,
|
| 463 |
+
"eval_steps_per_second": 0.8,
|
| 464 |
+
"step": 250
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.5,
|
| 468 |
+
"learning_rate": 2.523809523809524e-05,
|
| 469 |
+
"loss": 0.0002,
|
| 470 |
+
"step": 260
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.5,
|
| 474 |
+
"eval_accuracy": 0.9966666666666667,
|
| 475 |
+
"eval_f1": 0.9966555183946488,
|
| 476 |
+
"eval_loss": 0.04471863806247711,
|
| 477 |
+
"eval_precision": 1.0,
|
| 478 |
+
"eval_recall": 0.9933333333333333,
|
| 479 |
+
"eval_runtime": 142.2697,
|
| 480 |
+
"eval_samples_per_second": 6.326,
|
| 481 |
+
"eval_steps_per_second": 0.794,
|
| 482 |
+
"step": 260
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.51,
|
| 486 |
+
"learning_rate": 2.4285714285714288e-05,
|
| 487 |
+
"loss": 0.0003,
|
| 488 |
+
"step": 270
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.51,
|
| 492 |
+
"eval_accuracy": 0.9977777777777778,
|
| 493 |
+
"eval_f1": 0.9977728285077951,
|
| 494 |
+
"eval_loss": 0.05505097284913063,
|
| 495 |
+
"eval_precision": 1.0,
|
| 496 |
+
"eval_recall": 0.9955555555555555,
|
| 497 |
+
"eval_runtime": 141.202,
|
| 498 |
+
"eval_samples_per_second": 6.374,
|
| 499 |
+
"eval_steps_per_second": 0.8,
|
| 500 |
+
"step": 270
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.53,
|
| 504 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 505 |
+
"loss": 0.0,
|
| 506 |
+
"step": 280
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.53,
|
| 510 |
+
"eval_accuracy": 0.9977777777777778,
|
| 511 |
+
"eval_f1": 0.9977728285077951,
|
| 512 |
+
"eval_loss": 0.06447486579418182,
|
| 513 |
+
"eval_precision": 1.0,
|
| 514 |
+
"eval_recall": 0.9955555555555555,
|
| 515 |
+
"eval_runtime": 141.5606,
|
| 516 |
+
"eval_samples_per_second": 6.358,
|
| 517 |
+
"eval_steps_per_second": 0.798,
|
| 518 |
+
"step": 280
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.55,
|
| 522 |
+
"learning_rate": 2.2380952380952384e-05,
|
| 523 |
+
"loss": 0.0,
|
| 524 |
+
"step": 290
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 0.55,
|
| 528 |
+
"eval_accuracy": 0.9966666666666667,
|
| 529 |
+
"eval_f1": 0.9966555183946488,
|
| 530 |
+
"eval_loss": 0.06785142421722412,
|
| 531 |
+
"eval_precision": 1.0,
|
| 532 |
+
"eval_recall": 0.9933333333333333,
|
| 533 |
+
"eval_runtime": 141.703,
|
| 534 |
+
"eval_samples_per_second": 6.351,
|
| 535 |
+
"eval_steps_per_second": 0.797,
|
| 536 |
+
"step": 290
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.57,
|
| 540 |
+
"learning_rate": 2.1428571428571428e-05,
|
| 541 |
+
"loss": 0.0,
|
| 542 |
+
"step": 300
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.57,
|
| 546 |
+
"eval_accuracy": 0.9966666666666667,
|
| 547 |
+
"eval_f1": 0.9966555183946488,
|
| 548 |
+
"eval_loss": 0.06899154931306839,
|
| 549 |
+
"eval_precision": 1.0,
|
| 550 |
+
"eval_recall": 0.9933333333333333,
|
| 551 |
+
"eval_runtime": 141.0943,
|
| 552 |
+
"eval_samples_per_second": 6.379,
|
| 553 |
+
"eval_steps_per_second": 0.801,
|
| 554 |
+
"step": 300
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.59,
|
| 558 |
+
"learning_rate": 2.0476190476190476e-05,
|
| 559 |
+
"loss": 0.0,
|
| 560 |
+
"step": 310
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.59,
|
| 564 |
+
"eval_accuracy": 0.9966666666666667,
|
| 565 |
+
"eval_f1": 0.9966555183946488,
|
| 566 |
+
"eval_loss": 0.06934668123722076,
|
| 567 |
+
"eval_precision": 1.0,
|
| 568 |
+
"eval_recall": 0.9933333333333333,
|
| 569 |
+
"eval_runtime": 141.164,
|
| 570 |
+
"eval_samples_per_second": 6.376,
|
| 571 |
+
"eval_steps_per_second": 0.8,
|
| 572 |
+
"step": 310
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.61,
|
| 576 |
+
"learning_rate": 1.9523809523809524e-05,
|
| 577 |
+
"loss": 0.0005,
|
| 578 |
+
"step": 320
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.61,
|
| 582 |
+
"eval_accuracy": 0.97,
|
| 583 |
+
"eval_f1": 0.9707475622968581,
|
| 584 |
+
"eval_loss": 0.19248592853546143,
|
| 585 |
+
"eval_precision": 0.9471458773784355,
|
| 586 |
+
"eval_recall": 0.9955555555555555,
|
| 587 |
+
"eval_runtime": 141.5015,
|
| 588 |
+
"eval_samples_per_second": 6.36,
|
| 589 |
+
"eval_steps_per_second": 0.799,
|
| 590 |
+
"step": 320
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.63,
|
| 594 |
+
"learning_rate": 1.8571428571428572e-05,
|
| 595 |
+
"loss": 0.3679,
|
| 596 |
+
"step": 330
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 0.63,
|
| 600 |
+
"eval_accuracy": 0.9933333333333333,
|
| 601 |
+
"eval_f1": 0.9932885906040269,
|
| 602 |
+
"eval_loss": 0.13398447632789612,
|
| 603 |
+
"eval_precision": 1.0,
|
| 604 |
+
"eval_recall": 0.9866666666666667,
|
| 605 |
+
"eval_runtime": 141.4182,
|
| 606 |
+
"eval_samples_per_second": 6.364,
|
| 607 |
+
"eval_steps_per_second": 0.799,
|
| 608 |
+
"step": 330
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 0.65,
|
| 612 |
+
"learning_rate": 1.761904761904762e-05,
|
| 613 |
+
"loss": 0.022,
|
| 614 |
+
"step": 340
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 0.65,
|
| 618 |
+
"eval_accuracy": 0.9911111111111112,
|
| 619 |
+
"eval_f1": 0.9910313901345292,
|
| 620 |
+
"eval_loss": 0.14806345105171204,
|
| 621 |
+
"eval_precision": 1.0,
|
| 622 |
+
"eval_recall": 0.9822222222222222,
|
| 623 |
+
"eval_runtime": 141.5234,
|
| 624 |
+
"eval_samples_per_second": 6.359,
|
| 625 |
+
"eval_steps_per_second": 0.798,
|
| 626 |
+
"step": 340
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.67,
|
| 630 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 631 |
+
"loss": 0.3466,
|
| 632 |
+
"step": 350
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.67,
|
| 636 |
+
"eval_accuracy": 0.9977777777777778,
|
| 637 |
+
"eval_f1": 0.9977728285077951,
|
| 638 |
+
"eval_loss": 0.03295884281396866,
|
| 639 |
+
"eval_precision": 1.0,
|
| 640 |
+
"eval_recall": 0.9955555555555555,
|
| 641 |
+
"eval_runtime": 141.8566,
|
| 642 |
+
"eval_samples_per_second": 6.344,
|
| 643 |
+
"eval_steps_per_second": 0.797,
|
| 644 |
+
"step": 350
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 0.69,
|
| 648 |
+
"learning_rate": 1.5714285714285715e-05,
|
| 649 |
+
"loss": 0.0969,
|
| 650 |
+
"step": 360
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.69,
|
| 654 |
+
"eval_accuracy": 0.9977777777777778,
|
| 655 |
+
"eval_f1": 0.9977728285077951,
|
| 656 |
+
"eval_loss": 0.033551666885614395,
|
| 657 |
+
"eval_precision": 1.0,
|
| 658 |
+
"eval_recall": 0.9955555555555555,
|
| 659 |
+
"eval_runtime": 141.8137,
|
| 660 |
+
"eval_samples_per_second": 6.346,
|
| 661 |
+
"eval_steps_per_second": 0.797,
|
| 662 |
+
"step": 360
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.7,
|
| 666 |
+
"learning_rate": 1.4761904761904763e-05,
|
| 667 |
+
"loss": 0.0,
|
| 668 |
+
"step": 370
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.7,
|
| 672 |
+
"eval_accuracy": 0.9977777777777778,
|
| 673 |
+
"eval_f1": 0.9977728285077951,
|
| 674 |
+
"eval_loss": 0.036964382976293564,
|
| 675 |
+
"eval_precision": 1.0,
|
| 676 |
+
"eval_recall": 0.9955555555555555,
|
| 677 |
+
"eval_runtime": 141.486,
|
| 678 |
+
"eval_samples_per_second": 6.361,
|
| 679 |
+
"eval_steps_per_second": 0.799,
|
| 680 |
+
"step": 370
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.72,
|
| 684 |
+
"learning_rate": 1.3809523809523811e-05,
|
| 685 |
+
"loss": 0.1382,
|
| 686 |
+
"step": 380
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 0.72,
|
| 690 |
+
"eval_accuracy": 0.9977777777777778,
|
| 691 |
+
"eval_f1": 0.9977728285077951,
|
| 692 |
+
"eval_loss": 0.024998752400279045,
|
| 693 |
+
"eval_precision": 1.0,
|
| 694 |
+
"eval_recall": 0.9955555555555555,
|
| 695 |
+
"eval_runtime": 141.3407,
|
| 696 |
+
"eval_samples_per_second": 6.368,
|
| 697 |
+
"eval_steps_per_second": 0.799,
|
| 698 |
+
"step": 380
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 0.74,
|
| 702 |
+
"learning_rate": 1.2857142857142857e-05,
|
| 703 |
+
"loss": 0.0002,
|
| 704 |
+
"step": 390
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.74,
|
| 708 |
+
"eval_accuracy": 0.9955555555555555,
|
| 709 |
+
"eval_f1": 0.9955357142857144,
|
| 710 |
+
"eval_loss": 0.0562567375600338,
|
| 711 |
+
"eval_precision": 1.0,
|
| 712 |
+
"eval_recall": 0.9911111111111112,
|
| 713 |
+
"eval_runtime": 141.2026,
|
| 714 |
+
"eval_samples_per_second": 6.374,
|
| 715 |
+
"eval_steps_per_second": 0.8,
|
| 716 |
+
"step": 390
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.76,
|
| 720 |
+
"learning_rate": 1.1904761904761905e-05,
|
| 721 |
+
"loss": 0.0,
|
| 722 |
+
"step": 400
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.76,
|
| 726 |
+
"eval_accuracy": 0.9933333333333333,
|
| 727 |
+
"eval_f1": 0.9932885906040269,
|
| 728 |
+
"eval_loss": 0.08514667302370071,
|
| 729 |
+
"eval_precision": 1.0,
|
| 730 |
+
"eval_recall": 0.9866666666666667,
|
| 731 |
+
"eval_runtime": 141.5649,
|
| 732 |
+
"eval_samples_per_second": 6.358,
|
| 733 |
+
"eval_steps_per_second": 0.798,
|
| 734 |
+
"step": 400
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 0.78,
|
| 738 |
+
"learning_rate": 1.0952380952380953e-05,
|
| 739 |
+
"loss": 0.0,
|
| 740 |
+
"step": 410
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.78,
|
| 744 |
+
"eval_accuracy": 0.9933333333333333,
|
| 745 |
+
"eval_f1": 0.9932885906040269,
|
| 746 |
+
"eval_loss": 0.0796796977519989,
|
| 747 |
+
"eval_precision": 1.0,
|
| 748 |
+
"eval_recall": 0.9866666666666667,
|
| 749 |
+
"eval_runtime": 141.415,
|
| 750 |
+
"eval_samples_per_second": 6.364,
|
| 751 |
+
"eval_steps_per_second": 0.799,
|
| 752 |
+
"step": 410
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.8,
|
| 756 |
+
"learning_rate": 1e-05,
|
| 757 |
+
"loss": 0.0249,
|
| 758 |
+
"step": 420
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.8,
|
| 762 |
+
"eval_accuracy": 0.9977777777777778,
|
| 763 |
+
"eval_f1": 0.9977728285077951,
|
| 764 |
+
"eval_loss": 0.053853683173656464,
|
| 765 |
+
"eval_precision": 1.0,
|
| 766 |
+
"eval_recall": 0.9955555555555555,
|
| 767 |
+
"eval_runtime": 141.5153,
|
| 768 |
+
"eval_samples_per_second": 6.36,
|
| 769 |
+
"eval_steps_per_second": 0.799,
|
| 770 |
+
"step": 420
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.82,
|
| 774 |
+
"learning_rate": 9.047619047619047e-06,
|
| 775 |
+
"loss": 0.0,
|
| 776 |
+
"step": 430
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 0.82,
|
| 780 |
+
"eval_accuracy": 0.9944444444444445,
|
| 781 |
+
"eval_f1": 0.9944506104328523,
|
| 782 |
+
"eval_loss": 0.05637865141034126,
|
| 783 |
+
"eval_precision": 0.9933481152993349,
|
| 784 |
+
"eval_recall": 0.9955555555555555,
|
| 785 |
+
"eval_runtime": 141.1842,
|
| 786 |
+
"eval_samples_per_second": 6.375,
|
| 787 |
+
"eval_steps_per_second": 0.8,
|
| 788 |
+
"step": 430
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.84,
|
| 792 |
+
"learning_rate": 8.095238095238097e-06,
|
| 793 |
+
"loss": 0.0001,
|
| 794 |
+
"step": 440
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.84,
|
| 798 |
+
"eval_accuracy": 0.9977777777777778,
|
| 799 |
+
"eval_f1": 0.9977728285077951,
|
| 800 |
+
"eval_loss": 0.05456162244081497,
|
| 801 |
+
"eval_precision": 1.0,
|
| 802 |
+
"eval_recall": 0.9955555555555555,
|
| 803 |
+
"eval_runtime": 141.6066,
|
| 804 |
+
"eval_samples_per_second": 6.356,
|
| 805 |
+
"eval_steps_per_second": 0.798,
|
| 806 |
+
"step": 440
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 0.86,
|
| 810 |
+
"learning_rate": 7.142857142857143e-06,
|
| 811 |
+
"loss": 0.0,
|
| 812 |
+
"step": 450
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 0.86,
|
| 816 |
+
"eval_accuracy": 0.9977777777777778,
|
| 817 |
+
"eval_f1": 0.9977728285077951,
|
| 818 |
+
"eval_loss": 0.05705412104725838,
|
| 819 |
+
"eval_precision": 1.0,
|
| 820 |
+
"eval_recall": 0.9955555555555555,
|
| 821 |
+
"eval_runtime": 141.4461,
|
| 822 |
+
"eval_samples_per_second": 6.363,
|
| 823 |
+
"eval_steps_per_second": 0.799,
|
| 824 |
+
"step": 450
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.88,
|
| 828 |
+
"learning_rate": 6.190476190476191e-06,
|
| 829 |
+
"loss": 0.0,
|
| 830 |
+
"step": 460
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.88,
|
| 834 |
+
"eval_accuracy": 0.9977777777777778,
|
| 835 |
+
"eval_f1": 0.9977728285077951,
|
| 836 |
+
"eval_loss": 0.057826586067676544,
|
| 837 |
+
"eval_precision": 1.0,
|
| 838 |
+
"eval_recall": 0.9955555555555555,
|
| 839 |
+
"eval_runtime": 141.1909,
|
| 840 |
+
"eval_samples_per_second": 6.374,
|
| 841 |
+
"eval_steps_per_second": 0.8,
|
| 842 |
+
"step": 460
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.9,
|
| 846 |
+
"learning_rate": 5.2380952380952384e-06,
|
| 847 |
+
"loss": 0.0,
|
| 848 |
+
"step": 470
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 0.9,
|
| 852 |
+
"eval_accuracy": 0.9977777777777778,
|
| 853 |
+
"eval_f1": 0.9977728285077951,
|
| 854 |
+
"eval_loss": 0.058067686855793,
|
| 855 |
+
"eval_precision": 1.0,
|
| 856 |
+
"eval_recall": 0.9955555555555555,
|
| 857 |
+
"eval_runtime": 141.1597,
|
| 858 |
+
"eval_samples_per_second": 6.376,
|
| 859 |
+
"eval_steps_per_second": 0.801,
|
| 860 |
+
"step": 470
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 0.91,
|
| 864 |
+
"learning_rate": 4.285714285714286e-06,
|
| 865 |
+
"loss": 0.0436,
|
| 866 |
+
"step": 480
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.91,
|
| 870 |
+
"eval_accuracy": 0.9977777777777778,
|
| 871 |
+
"eval_f1": 0.9977728285077951,
|
| 872 |
+
"eval_loss": 0.05441794544458389,
|
| 873 |
+
"eval_precision": 1.0,
|
| 874 |
+
"eval_recall": 0.9955555555555555,
|
| 875 |
+
"eval_runtime": 141.5984,
|
| 876 |
+
"eval_samples_per_second": 6.356,
|
| 877 |
+
"eval_steps_per_second": 0.798,
|
| 878 |
+
"step": 480
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.93,
|
| 882 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 883 |
+
"loss": 0.0001,
|
| 884 |
+
"step": 490
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.93,
|
| 888 |
+
"eval_accuracy": 0.9966666666666667,
|
| 889 |
+
"eval_f1": 0.996662958843159,
|
| 890 |
+
"eval_loss": 0.05526140332221985,
|
| 891 |
+
"eval_precision": 0.9977728285077951,
|
| 892 |
+
"eval_recall": 0.9955555555555555,
|
| 893 |
+
"eval_runtime": 141.1634,
|
| 894 |
+
"eval_samples_per_second": 6.376,
|
| 895 |
+
"eval_steps_per_second": 0.8,
|
| 896 |
+
"step": 490
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 0.95,
|
| 900 |
+
"learning_rate": 2.3809523809523808e-06,
|
| 901 |
+
"loss": 0.0,
|
| 902 |
+
"step": 500
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 0.95,
|
| 906 |
+
"eval_accuracy": 0.9977777777777778,
|
| 907 |
+
"eval_f1": 0.9977728285077951,
|
| 908 |
+
"eval_loss": 0.054864052683115005,
|
| 909 |
+
"eval_precision": 1.0,
|
| 910 |
+
"eval_recall": 0.9955555555555555,
|
| 911 |
+
"eval_runtime": 141.2124,
|
| 912 |
+
"eval_samples_per_second": 6.373,
|
| 913 |
+
"eval_steps_per_second": 0.8,
|
| 914 |
+
"step": 500
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.97,
|
| 918 |
+
"learning_rate": 1.4285714285714286e-06,
|
| 919 |
+
"loss": 0.0,
|
| 920 |
+
"step": 510
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.97,
|
| 924 |
+
"eval_accuracy": 0.9977777777777778,
|
| 925 |
+
"eval_f1": 0.9977728285077951,
|
| 926 |
+
"eval_loss": 0.0549486018717289,
|
| 927 |
+
"eval_precision": 1.0,
|
| 928 |
+
"eval_recall": 0.9955555555555555,
|
| 929 |
+
"eval_runtime": 141.0622,
|
| 930 |
+
"eval_samples_per_second": 6.38,
|
| 931 |
+
"eval_steps_per_second": 0.801,
|
| 932 |
+
"step": 510
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 0.99,
|
| 936 |
+
"learning_rate": 4.761904761904763e-07,
|
| 937 |
+
"loss": 0.0,
|
| 938 |
+
"step": 520
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 0.99,
|
| 942 |
+
"eval_accuracy": 0.9977777777777778,
|
| 943 |
+
"eval_f1": 0.9977728285077951,
|
| 944 |
+
"eval_loss": 0.054975349456071854,
|
| 945 |
+
"eval_precision": 1.0,
|
| 946 |
+
"eval_recall": 0.9955555555555555,
|
| 947 |
+
"eval_runtime": 141.3458,
|
| 948 |
+
"eval_samples_per_second": 6.367,
|
| 949 |
+
"eval_steps_per_second": 0.799,
|
| 950 |
+
"step": 520
|
| 951 |
+
}
|
| 952 |
+
],
|
| 953 |
+
"max_steps": 525,
|
| 954 |
+
"num_train_epochs": 1,
|
| 955 |
+
"total_flos": 3.0453660647424e+16,
|
| 956 |
+
"trial_name": null,
|
| 957 |
+
"trial_params": null
|
| 958 |
+
}
|
bloomz-3b-wiki-detector/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a13f46516b66c4a30669d7ac24fe7bf8db7c77d8fae3472699544306334faf9d
|
| 3 |
+
size 3451
|