End of training

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-large-uncased-whole-word-masking
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: 09cbd937b2a4ef22746fd7293d765391
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 09cbd937b2a4ef22746fd7293d765391
+
+This model is a fine-tuned version of [google-bert/bert-large-uncased-whole-word-masking](https://huggingface.co/google-bert/bert-large-uncased-whole-word-masking) on the nyu-mll/glue [mnli] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1043
+- Data Size: 1.0
+- Epoch Runtime: 1137.3446
+- Accuracy: 0.3182
+- F1 Macro: 0.1609
+- Rouge1: 0.3184
+- Rouge2: 0.0
+- Rougel: 0.3182
+- Rougelsum: 0.3183
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:------:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0      | 1.2907          | 0         | 7.9126        | 0.3540   | 0.1751   | 0.3539 | 0.0    | 0.3540 | 0.3538    |
+| 1.1102        | 1     | 12271  | 0.9334          | 0.0078    | 19.0122       | 0.5456   | 0.5088   | 0.5456 | 0.0    | 0.5459 | 0.5455    |
+| 0.7655        | 2     | 24542  | 0.6558          | 0.0156    | 26.9505       | 0.7339   | 0.7338   | 0.7339 | 0.0    | 0.7339 | 0.7338    |
+| 0.6731        | 3     | 36813  | 0.6467          | 0.0312    | 44.3297       | 0.75     | 0.7465   | 0.7497 | 0.0    | 0.7502 | 0.75      |
+| 0.6613        | 4     | 49084  | 0.5680          | 0.0625    | 80.0463       | 0.7793   | 0.7773   | 0.7793 | 0.0    | 0.7794 | 0.7795    |
+| 0.5785        | 5     | 61355  | 0.5429          | 0.125     | 149.8707      | 0.7830   | 0.7792   | 0.7829 | 0.0    | 0.7830 | 0.7830    |
+| 0.7309        | 6     | 73626  | 0.7173          | 0.25      | 289.3004      | 0.6990   | 0.6976   | 0.6989 | 0.0    | 0.6989 | 0.6989    |
+| 0.6779        | 7     | 85897  | 0.7155          | 0.5       | 581.7114      | 0.7050   | 0.7058   | 0.7048 | 0.0    | 0.7048 | 0.7050    |
+| 1.1055        | 8.0   | 98168  | 1.0986          | 1.0       | 1133.6875     | 0.3545   | 0.1745   | 0.3544 | 0.0    | 0.3545 | 0.3543    |
+| 1.1071        | 9.0   | 110439 | 1.1043          | 1.0       | 1137.3446     | 0.3182   | 0.1609   | 0.3184 | 0.0    | 0.3182 | 0.3183    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,35 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0cb94b32034f2c23e43386fb999ec11be0a10c8d9134a6f00d18e871b2cd074
+size 1340626860

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,56 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4c81a7efbe2c646060eb48b73abb073fbcbdbdae7d567989d1ceb0563a3a7d9
+size 5969