add model files
Browse files- .gitattributes +1 -0
- config.json +160 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +1104 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
CHANGED
|
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 25 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 25 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
config.json
ADDED
|
@@ -0,0 +1,160 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "./drive/MyDrive/transformer_add/checkpoint-59000",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"EncoderDecoderModel"
|
| 5 |
+
],
|
| 6 |
+
"decoder": {
|
| 7 |
+
"_name_or_path": "",
|
| 8 |
+
"add_cross_attention": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"BertForMaskedLM"
|
| 11 |
+
],
|
| 12 |
+
"attention_probs_dropout_prob": 0.1,
|
| 13 |
+
"bad_words_ids": null,
|
| 14 |
+
"bos_token_id": null,
|
| 15 |
+
"chunk_size_feed_forward": 0,
|
| 16 |
+
"decoder_start_token_id": null,
|
| 17 |
+
"diversity_penalty": 0.0,
|
| 18 |
+
"do_sample": false,
|
| 19 |
+
"early_stopping": false,
|
| 20 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 21 |
+
"eos_token_id": null,
|
| 22 |
+
"finetuning_task": null,
|
| 23 |
+
"forced_bos_token_id": null,
|
| 24 |
+
"forced_eos_token_id": null,
|
| 25 |
+
"gradient_checkpointing": false,
|
| 26 |
+
"hidden_act": "gelu",
|
| 27 |
+
"hidden_dropout_prob": 0.1,
|
| 28 |
+
"hidden_size": 512,
|
| 29 |
+
"id2label": {
|
| 30 |
+
"0": "LABEL_0",
|
| 31 |
+
"1": "LABEL_1"
|
| 32 |
+
},
|
| 33 |
+
"initializer_range": 0.02,
|
| 34 |
+
"intermediate_size": 2048,
|
| 35 |
+
"is_decoder": true,
|
| 36 |
+
"is_encoder_decoder": false,
|
| 37 |
+
"label2id": {
|
| 38 |
+
"LABEL_0": 0,
|
| 39 |
+
"LABEL_1": 1
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-12,
|
| 42 |
+
"length_penalty": 1.0,
|
| 43 |
+
"max_length": 20,
|
| 44 |
+
"max_position_embeddings": 512,
|
| 45 |
+
"min_length": 0,
|
| 46 |
+
"model_type": "bert",
|
| 47 |
+
"no_repeat_ngram_size": 0,
|
| 48 |
+
"num_attention_heads": 8,
|
| 49 |
+
"num_beam_groups": 1,
|
| 50 |
+
"num_beams": 1,
|
| 51 |
+
"num_hidden_layers": 6,
|
| 52 |
+
"num_return_sequences": 1,
|
| 53 |
+
"output_attentions": false,
|
| 54 |
+
"output_hidden_states": false,
|
| 55 |
+
"output_scores": false,
|
| 56 |
+
"pad_token_id": 0,
|
| 57 |
+
"position_embedding_type": "absolute",
|
| 58 |
+
"prefix": null,
|
| 59 |
+
"pruned_heads": {},
|
| 60 |
+
"remove_invalid_values": false,
|
| 61 |
+
"repetition_penalty": 1.0,
|
| 62 |
+
"return_dict": true,
|
| 63 |
+
"return_dict_in_generate": false,
|
| 64 |
+
"sep_token_id": null,
|
| 65 |
+
"task_specific_params": null,
|
| 66 |
+
"temperature": 1.0,
|
| 67 |
+
"tie_encoder_decoder": false,
|
| 68 |
+
"tie_word_embeddings": true,
|
| 69 |
+
"tokenizer_class": null,
|
| 70 |
+
"top_k": 50,
|
| 71 |
+
"top_p": 1.0,
|
| 72 |
+
"torchscript": false,
|
| 73 |
+
"transformers_version": "4.5.1",
|
| 74 |
+
"type_vocab_size": 2,
|
| 75 |
+
"use_bfloat16": false,
|
| 76 |
+
"use_cache": true,
|
| 77 |
+
"vocab_size": 64000
|
| 78 |
+
},
|
| 79 |
+
"decoder_start_token_id": 2,
|
| 80 |
+
"encoder": {
|
| 81 |
+
"_name_or_path": "",
|
| 82 |
+
"add_cross_attention": false,
|
| 83 |
+
"architectures": [
|
| 84 |
+
"BertForMaskedLM"
|
| 85 |
+
],
|
| 86 |
+
"attention_probs_dropout_prob": 0.1,
|
| 87 |
+
"bad_words_ids": null,
|
| 88 |
+
"bos_token_id": null,
|
| 89 |
+
"chunk_size_feed_forward": 0,
|
| 90 |
+
"decoder_start_token_id": null,
|
| 91 |
+
"diversity_penalty": 0.0,
|
| 92 |
+
"do_sample": false,
|
| 93 |
+
"early_stopping": false,
|
| 94 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 95 |
+
"eos_token_id": null,
|
| 96 |
+
"finetuning_task": null,
|
| 97 |
+
"forced_bos_token_id": null,
|
| 98 |
+
"forced_eos_token_id": null,
|
| 99 |
+
"gradient_checkpointing": false,
|
| 100 |
+
"hidden_act": "gelu",
|
| 101 |
+
"hidden_dropout_prob": 0.1,
|
| 102 |
+
"hidden_size": 512,
|
| 103 |
+
"id2label": {
|
| 104 |
+
"0": "LABEL_0",
|
| 105 |
+
"1": "LABEL_1"
|
| 106 |
+
},
|
| 107 |
+
"initializer_range": 0.02,
|
| 108 |
+
"intermediate_size": 2048,
|
| 109 |
+
"is_decoder": false,
|
| 110 |
+
"is_encoder_decoder": false,
|
| 111 |
+
"label2id": {
|
| 112 |
+
"LABEL_0": 0,
|
| 113 |
+
"LABEL_1": 1
|
| 114 |
+
},
|
| 115 |
+
"layer_norm_eps": 1e-12,
|
| 116 |
+
"length_penalty": 1.0,
|
| 117 |
+
"max_length": 20,
|
| 118 |
+
"max_position_embeddings": 512,
|
| 119 |
+
"min_length": 0,
|
| 120 |
+
"model_type": "bert",
|
| 121 |
+
"no_repeat_ngram_size": 0,
|
| 122 |
+
"num_attention_heads": 8,
|
| 123 |
+
"num_beam_groups": 1,
|
| 124 |
+
"num_beams": 1,
|
| 125 |
+
"num_hidden_layers": 6,
|
| 126 |
+
"num_return_sequences": 1,
|
| 127 |
+
"output_attentions": false,
|
| 128 |
+
"output_hidden_states": false,
|
| 129 |
+
"output_scores": false,
|
| 130 |
+
"pad_token_id": 0,
|
| 131 |
+
"position_embedding_type": "absolute",
|
| 132 |
+
"prefix": null,
|
| 133 |
+
"pruned_heads": {},
|
| 134 |
+
"remove_invalid_values": false,
|
| 135 |
+
"repetition_penalty": 1.0,
|
| 136 |
+
"return_dict": true,
|
| 137 |
+
"return_dict_in_generate": false,
|
| 138 |
+
"sep_token_id": null,
|
| 139 |
+
"task_specific_params": null,
|
| 140 |
+
"temperature": 1.0,
|
| 141 |
+
"tie_encoder_decoder": false,
|
| 142 |
+
"tie_word_embeddings": true,
|
| 143 |
+
"tokenizer_class": null,
|
| 144 |
+
"top_k": 50,
|
| 145 |
+
"top_p": 1.0,
|
| 146 |
+
"torchscript": false,
|
| 147 |
+
"transformers_version": "4.5.1",
|
| 148 |
+
"type_vocab_size": 2,
|
| 149 |
+
"use_bfloat16": false,
|
| 150 |
+
"use_cache": true,
|
| 151 |
+
"vocab_size": 64000
|
| 152 |
+
},
|
| 153 |
+
"eos_token_id": 3,
|
| 154 |
+
"is_encoder_decoder": true,
|
| 155 |
+
"max_length": 40,
|
| 156 |
+
"min_length": 5,
|
| 157 |
+
"model_type": "encoder-decoder",
|
| 158 |
+
"pad_token_id": 0,
|
| 159 |
+
"vocab_size": 64000
|
| 160 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6ad4b0020cd0110e673cc69d62cd86fa29e9f3a682acea10e59579d36c7ac93
|
| 3 |
+
size 443293155
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b9d04a5906588f294c7b694d20bf3b1345131e10d8823dc45b2698b907c8560
|
| 3 |
+
size 623
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "do_basic_tokenize": true, "never_split": ["[بريد]", "[مستخدم]", "[رابط]"], "special_tokens_map_file": null, "name_or_path": "aubmindlab/bert-base-arabertv02"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 6.11565268222492,
|
| 5 |
+
"global_step": 68000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.09,
|
| 12 |
+
"learning_rate": 7.142857142857143e-06,
|
| 13 |
+
"loss": 9.9046,
|
| 14 |
+
"step": 1000
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.09,
|
| 18 |
+
"eval_loss": 8.965944290161133,
|
| 19 |
+
"eval_rouge-1": 0.0801,
|
| 20 |
+
"eval_rouge-2": 0.0016,
|
| 21 |
+
"eval_rouge-l": 0.0788,
|
| 22 |
+
"eval_runtime": 123.903,
|
| 23 |
+
"eval_samples_per_second": 33.688,
|
| 24 |
+
"step": 1000
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.18,
|
| 28 |
+
"learning_rate": 1.4285714285714285e-05,
|
| 29 |
+
"loss": 8.3615,
|
| 30 |
+
"step": 2000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.18,
|
| 34 |
+
"eval_loss": 8.027783393859863,
|
| 35 |
+
"eval_rouge-1": 0.1331,
|
| 36 |
+
"eval_rouge-2": 0.0035,
|
| 37 |
+
"eval_rouge-l": 0.1326,
|
| 38 |
+
"eval_runtime": 188.3863,
|
| 39 |
+
"eval_samples_per_second": 22.157,
|
| 40 |
+
"step": 2000
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"epoch": 0.27,
|
| 44 |
+
"learning_rate": 2.1428571428571428e-05,
|
| 45 |
+
"loss": 7.8626,
|
| 46 |
+
"step": 3000
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.27,
|
| 50 |
+
"eval_loss": 7.678055286407471,
|
| 51 |
+
"eval_rouge-1": 0.1526,
|
| 52 |
+
"eval_rouge-2": 0.0104,
|
| 53 |
+
"eval_rouge-l": 0.1512,
|
| 54 |
+
"eval_runtime": 171.3007,
|
| 55 |
+
"eval_samples_per_second": 24.367,
|
| 56 |
+
"step": 3000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.36,
|
| 60 |
+
"learning_rate": 2.857142857142857e-05,
|
| 61 |
+
"loss": 7.5789,
|
| 62 |
+
"step": 4000
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.36,
|
| 66 |
+
"eval_loss": 7.365678787231445,
|
| 67 |
+
"eval_rouge-1": 0.1554,
|
| 68 |
+
"eval_rouge-2": 0.0185,
|
| 69 |
+
"eval_rouge-l": 0.1514,
|
| 70 |
+
"eval_runtime": 183.8437,
|
| 71 |
+
"eval_samples_per_second": 22.704,
|
| 72 |
+
"step": 4000
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.45,
|
| 76 |
+
"learning_rate": 3.571428571428572e-05,
|
| 77 |
+
"loss": 7.2362,
|
| 78 |
+
"step": 5000
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 0.45,
|
| 82 |
+
"eval_loss": 7.026582717895508,
|
| 83 |
+
"eval_rouge-1": 0.1762,
|
| 84 |
+
"eval_rouge-2": 0.0294,
|
| 85 |
+
"eval_rouge-l": 0.1713,
|
| 86 |
+
"eval_runtime": 186.2412,
|
| 87 |
+
"eval_samples_per_second": 22.412,
|
| 88 |
+
"step": 5000
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.54,
|
| 92 |
+
"learning_rate": 4.2857142857142856e-05,
|
| 93 |
+
"loss": 6.8796,
|
| 94 |
+
"step": 6000
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.54,
|
| 98 |
+
"eval_loss": 6.7096028327941895,
|
| 99 |
+
"eval_rouge-1": 0.1867,
|
| 100 |
+
"eval_rouge-2": 0.0358,
|
| 101 |
+
"eval_rouge-l": 0.181,
|
| 102 |
+
"eval_runtime": 187.2555,
|
| 103 |
+
"eval_samples_per_second": 22.29,
|
| 104 |
+
"step": 6000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.63,
|
| 108 |
+
"learning_rate": 5e-05,
|
| 109 |
+
"loss": 6.5408,
|
| 110 |
+
"step": 7000
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.63,
|
| 114 |
+
"eval_loss": 6.399764060974121,
|
| 115 |
+
"eval_rouge-1": 0.1998,
|
| 116 |
+
"eval_rouge-2": 0.0414,
|
| 117 |
+
"eval_rouge-l": 0.1933,
|
| 118 |
+
"eval_runtime": 215.0406,
|
| 119 |
+
"eval_samples_per_second": 19.41,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.72,
|
| 124 |
+
"learning_rate": 4.984689346847537e-05,
|
| 125 |
+
"loss": 6.203,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.72,
|
| 130 |
+
"eval_loss": 6.118791580200195,
|
| 131 |
+
"eval_rouge-1": 0.2166,
|
| 132 |
+
"eval_rouge-2": 0.0499,
|
| 133 |
+
"eval_rouge-l": 0.2054,
|
| 134 |
+
"eval_runtime": 223.5995,
|
| 135 |
+
"eval_samples_per_second": 18.667,
|
| 136 |
+
"step": 8000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.81,
|
| 140 |
+
"learning_rate": 4.969378693695073e-05,
|
| 141 |
+
"loss": 5.8343,
|
| 142 |
+
"step": 9000
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.81,
|
| 146 |
+
"eval_loss": 5.871669769287109,
|
| 147 |
+
"eval_rouge-1": 0.2189,
|
| 148 |
+
"eval_rouge-2": 0.0564,
|
| 149 |
+
"eval_rouge-l": 0.2095,
|
| 150 |
+
"eval_runtime": 173.6387,
|
| 151 |
+
"eval_samples_per_second": 24.038,
|
| 152 |
+
"step": 9000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.9,
|
| 156 |
+
"learning_rate": 4.9540680405426096e-05,
|
| 157 |
+
"loss": 5.6021,
|
| 158 |
+
"step": 10000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.9,
|
| 162 |
+
"eval_loss": 5.661921501159668,
|
| 163 |
+
"eval_rouge-1": 0.2366,
|
| 164 |
+
"eval_rouge-2": 0.0626,
|
| 165 |
+
"eval_rouge-l": 0.2242,
|
| 166 |
+
"eval_runtime": 196.6013,
|
| 167 |
+
"eval_samples_per_second": 21.231,
|
| 168 |
+
"step": 10000
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 0.99,
|
| 172 |
+
"learning_rate": 4.938757387390146e-05,
|
| 173 |
+
"loss": 5.3839,
|
| 174 |
+
"step": 11000
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.99,
|
| 178 |
+
"eval_loss": 5.473762512207031,
|
| 179 |
+
"eval_rouge-1": 0.2505,
|
| 180 |
+
"eval_rouge-2": 0.0733,
|
| 181 |
+
"eval_rouge-l": 0.2382,
|
| 182 |
+
"eval_runtime": 195.5436,
|
| 183 |
+
"eval_samples_per_second": 21.346,
|
| 184 |
+
"step": 11000
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.08,
|
| 188 |
+
"learning_rate": 4.923446734237683e-05,
|
| 189 |
+
"loss": 5.1467,
|
| 190 |
+
"step": 12000
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 1.08,
|
| 194 |
+
"eval_loss": 5.313476085662842,
|
| 195 |
+
"eval_rouge-1": 0.2547,
|
| 196 |
+
"eval_rouge-2": 0.0778,
|
| 197 |
+
"eval_rouge-l": 0.2423,
|
| 198 |
+
"eval_runtime": 184.8247,
|
| 199 |
+
"eval_samples_per_second": 22.584,
|
| 200 |
+
"step": 12000
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.17,
|
| 204 |
+
"learning_rate": 4.90813608108522e-05,
|
| 205 |
+
"loss": 4.9939,
|
| 206 |
+
"step": 13000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 1.17,
|
| 210 |
+
"eval_loss": 5.17720365524292,
|
| 211 |
+
"eval_rouge-1": 0.2666,
|
| 212 |
+
"eval_rouge-2": 0.0886,
|
| 213 |
+
"eval_rouge-l": 0.2517,
|
| 214 |
+
"eval_runtime": 201.6984,
|
| 215 |
+
"eval_samples_per_second": 20.694,
|
| 216 |
+
"step": 13000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 1.26,
|
| 220 |
+
"learning_rate": 4.892825427932756e-05,
|
| 221 |
+
"loss": 4.8392,
|
| 222 |
+
"step": 14000
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 1.26,
|
| 226 |
+
"eval_loss": 5.034477710723877,
|
| 227 |
+
"eval_rouge-1": 0.2827,
|
| 228 |
+
"eval_rouge-2": 0.0953,
|
| 229 |
+
"eval_rouge-l": 0.2666,
|
| 230 |
+
"eval_runtime": 190.2704,
|
| 231 |
+
"eval_samples_per_second": 21.937,
|
| 232 |
+
"step": 14000
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 1.35,
|
| 236 |
+
"learning_rate": 4.8775147747802924e-05,
|
| 237 |
+
"loss": 4.7284,
|
| 238 |
+
"step": 15000
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 1.35,
|
| 242 |
+
"eval_loss": 4.909021854400635,
|
| 243 |
+
"eval_rouge-1": 0.288,
|
| 244 |
+
"eval_rouge-2": 0.1,
|
| 245 |
+
"eval_rouge-l": 0.2726,
|
| 246 |
+
"eval_runtime": 181.3965,
|
| 247 |
+
"eval_samples_per_second": 23.01,
|
| 248 |
+
"step": 15000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.44,
|
| 252 |
+
"learning_rate": 4.862204121627829e-05,
|
| 253 |
+
"loss": 4.6145,
|
| 254 |
+
"step": 16000
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.44,
|
| 258 |
+
"eval_loss": 4.801566123962402,
|
| 259 |
+
"eval_rouge-1": 0.2952,
|
| 260 |
+
"eval_rouge-2": 0.1042,
|
| 261 |
+
"eval_rouge-l": 0.2789,
|
| 262 |
+
"eval_runtime": 182.1022,
|
| 263 |
+
"eval_samples_per_second": 22.921,
|
| 264 |
+
"step": 16000
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 1.53,
|
| 268 |
+
"learning_rate": 4.846893468475365e-05,
|
| 269 |
+
"loss": 4.3908,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.53,
|
| 274 |
+
"eval_loss": 4.704518795013428,
|
| 275 |
+
"eval_rouge-1": 0.3059,
|
| 276 |
+
"eval_rouge-2": 0.1151,
|
| 277 |
+
"eval_rouge-l": 0.2893,
|
| 278 |
+
"eval_runtime": 174.1469,
|
| 279 |
+
"eval_samples_per_second": 23.968,
|
| 280 |
+
"step": 17000
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 1.62,
|
| 284 |
+
"learning_rate": 4.831582815322902e-05,
|
| 285 |
+
"loss": 4.304,
|
| 286 |
+
"step": 18000
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 1.62,
|
| 290 |
+
"eval_loss": 4.603546619415283,
|
| 291 |
+
"eval_rouge-1": 0.3086,
|
| 292 |
+
"eval_rouge-2": 0.1182,
|
| 293 |
+
"eval_rouge-l": 0.2909,
|
| 294 |
+
"eval_runtime": 182.7874,
|
| 295 |
+
"eval_samples_per_second": 22.835,
|
| 296 |
+
"step": 18000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.71,
|
| 300 |
+
"learning_rate": 4.8162721621704385e-05,
|
| 301 |
+
"loss": 4.2481,
|
| 302 |
+
"step": 19000
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.71,
|
| 306 |
+
"eval_loss": 4.504889488220215,
|
| 307 |
+
"eval_rouge-1": 0.3163,
|
| 308 |
+
"eval_rouge-2": 0.1253,
|
| 309 |
+
"eval_rouge-l": 0.2994,
|
| 310 |
+
"eval_runtime": 179.5495,
|
| 311 |
+
"eval_samples_per_second": 23.247,
|
| 312 |
+
"step": 19000
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 1.8,
|
| 316 |
+
"learning_rate": 4.800961509017975e-05,
|
| 317 |
+
"loss": 4.1473,
|
| 318 |
+
"step": 20000
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.8,
|
| 322 |
+
"eval_loss": 4.4253692626953125,
|
| 323 |
+
"eval_rouge-1": 0.3199,
|
| 324 |
+
"eval_rouge-2": 0.1264,
|
| 325 |
+
"eval_rouge-l": 0.3014,
|
| 326 |
+
"eval_runtime": 182.3622,
|
| 327 |
+
"eval_samples_per_second": 22.889,
|
| 328 |
+
"step": 20000
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 1.89,
|
| 332 |
+
"learning_rate": 4.785650855865512e-05,
|
| 333 |
+
"loss": 4.0769,
|
| 334 |
+
"step": 21000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 1.89,
|
| 338 |
+
"eval_loss": 4.35316276550293,
|
| 339 |
+
"eval_rouge-1": 0.324,
|
| 340 |
+
"eval_rouge-2": 0.1333,
|
| 341 |
+
"eval_rouge-l": 0.306,
|
| 342 |
+
"eval_runtime": 175.6652,
|
| 343 |
+
"eval_samples_per_second": 23.761,
|
| 344 |
+
"step": 21000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.98,
|
| 348 |
+
"learning_rate": 4.770340202713048e-05,
|
| 349 |
+
"loss": 3.999,
|
| 350 |
+
"step": 22000
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.98,
|
| 354 |
+
"eval_loss": 4.278110027313232,
|
| 355 |
+
"eval_rouge-1": 0.3268,
|
| 356 |
+
"eval_rouge-2": 0.1368,
|
| 357 |
+
"eval_rouge-l": 0.3089,
|
| 358 |
+
"eval_runtime": 189.2177,
|
| 359 |
+
"eval_samples_per_second": 22.059,
|
| 360 |
+
"step": 22000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 2.07,
|
| 364 |
+
"learning_rate": 4.7550295495605846e-05,
|
| 365 |
+
"loss": 3.8351,
|
| 366 |
+
"step": 23000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.07,
|
| 370 |
+
"eval_loss": 4.208358287811279,
|
| 371 |
+
"eval_rouge-1": 0.3308,
|
| 372 |
+
"eval_rouge-2": 0.1427,
|
| 373 |
+
"eval_rouge-l": 0.3144,
|
| 374 |
+
"eval_runtime": 178.6224,
|
| 375 |
+
"eval_samples_per_second": 23.368,
|
| 376 |
+
"step": 23000
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.16,
|
| 380 |
+
"learning_rate": 4.7397188964081206e-05,
|
| 381 |
+
"loss": 3.7519,
|
| 382 |
+
"step": 24000
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 2.16,
|
| 386 |
+
"eval_loss": 4.136488914489746,
|
| 387 |
+
"eval_rouge-1": 0.3361,
|
| 388 |
+
"eval_rouge-2": 0.1442,
|
| 389 |
+
"eval_rouge-l": 0.3184,
|
| 390 |
+
"eval_runtime": 191.1592,
|
| 391 |
+
"eval_samples_per_second": 21.835,
|
| 392 |
+
"step": 24000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 2.25,
|
| 396 |
+
"learning_rate": 4.724408243255657e-05,
|
| 397 |
+
"loss": 3.6917,
|
| 398 |
+
"step": 25000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.25,
|
| 402 |
+
"eval_loss": 4.072964668273926,
|
| 403 |
+
"eval_rouge-1": 0.3394,
|
| 404 |
+
"eval_rouge-2": 0.1488,
|
| 405 |
+
"eval_rouge-l": 0.3217,
|
| 406 |
+
"eval_runtime": 178.8323,
|
| 407 |
+
"eval_samples_per_second": 23.34,
|
| 408 |
+
"step": 25000
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.34,
|
| 412 |
+
"learning_rate": 4.709097590103194e-05,
|
| 413 |
+
"loss": 3.6526,
|
| 414 |
+
"step": 26000
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 2.34,
|
| 418 |
+
"eval_loss": 4.014794826507568,
|
| 419 |
+
"eval_rouge-1": 0.3437,
|
| 420 |
+
"eval_rouge-2": 0.1511,
|
| 421 |
+
"eval_rouge-l": 0.3254,
|
| 422 |
+
"eval_runtime": 182.0303,
|
| 423 |
+
"eval_samples_per_second": 22.93,
|
| 424 |
+
"step": 26000
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 2.43,
|
| 428 |
+
"learning_rate": 4.693786936950731e-05,
|
| 429 |
+
"loss": 3.485,
|
| 430 |
+
"step": 27000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 2.43,
|
| 434 |
+
"eval_loss": 3.9730067253112793,
|
| 435 |
+
"eval_rouge-1": 0.3472,
|
| 436 |
+
"eval_rouge-2": 0.1575,
|
| 437 |
+
"eval_rouge-l": 0.329,
|
| 438 |
+
"eval_runtime": 106.9008,
|
| 439 |
+
"eval_samples_per_second": 39.046,
|
| 440 |
+
"step": 27000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 2.52,
|
| 444 |
+
"learning_rate": 4.6784762837982674e-05,
|
| 445 |
+
"loss": 3.4744,
|
| 446 |
+
"step": 28000
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.52,
|
| 450 |
+
"eval_loss": 3.905726909637451,
|
| 451 |
+
"eval_rouge-1": 0.3524,
|
| 452 |
+
"eval_rouge-2": 0.1605,
|
| 453 |
+
"eval_rouge-l": 0.3328,
|
| 454 |
+
"eval_runtime": 109.2943,
|
| 455 |
+
"eval_samples_per_second": 38.19,
|
| 456 |
+
"step": 28000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 2.61,
|
| 460 |
+
"learning_rate": 4.663165630645804e-05,
|
| 461 |
+
"loss": 3.4398,
|
| 462 |
+
"step": 29000
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 2.61,
|
| 466 |
+
"eval_loss": 3.861633062362671,
|
| 467 |
+
"eval_rouge-1": 0.3555,
|
| 468 |
+
"eval_rouge-2": 0.1648,
|
| 469 |
+
"eval_rouge-l": 0.3369,
|
| 470 |
+
"eval_runtime": 109.0651,
|
| 471 |
+
"eval_samples_per_second": 38.271,
|
| 472 |
+
"step": 29000
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 2.7,
|
| 476 |
+
"learning_rate": 4.64785497749334e-05,
|
| 477 |
+
"loss": 3.4033,
|
| 478 |
+
"step": 30000
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.7,
|
| 482 |
+
"eval_loss": 3.814605712890625,
|
| 483 |
+
"eval_rouge-1": 0.3616,
|
| 484 |
+
"eval_rouge-2": 0.1696,
|
| 485 |
+
"eval_rouge-l": 0.3426,
|
| 486 |
+
"eval_runtime": 111.7482,
|
| 487 |
+
"eval_samples_per_second": 37.352,
|
| 488 |
+
"step": 30000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.79,
|
| 492 |
+
"learning_rate": 4.632544324340877e-05,
|
| 493 |
+
"loss": 3.3852,
|
| 494 |
+
"step": 31000
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.79,
|
| 498 |
+
"eval_loss": 3.7633745670318604,
|
| 499 |
+
"eval_rouge-1": 0.3618,
|
| 500 |
+
"eval_rouge-2": 0.1729,
|
| 501 |
+
"eval_rouge-l": 0.3431,
|
| 502 |
+
"eval_runtime": 108.2348,
|
| 503 |
+
"eval_samples_per_second": 38.564,
|
| 504 |
+
"step": 31000
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 2.88,
|
| 508 |
+
"learning_rate": 4.617233671188413e-05,
|
| 509 |
+
"loss": 3.3591,
|
| 510 |
+
"step": 32000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 2.88,
|
| 514 |
+
"eval_loss": 3.70929217338562,
|
| 515 |
+
"eval_rouge-1": 0.3665,
|
| 516 |
+
"eval_rouge-2": 0.1758,
|
| 517 |
+
"eval_rouge-l": 0.3483,
|
| 518 |
+
"eval_runtime": 107.2167,
|
| 519 |
+
"eval_samples_per_second": 38.93,
|
| 520 |
+
"step": 32000
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.97,
|
| 524 |
+
"learning_rate": 4.6019230180359495e-05,
|
| 525 |
+
"loss": 3.3347,
|
| 526 |
+
"step": 33000
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 2.97,
|
| 530 |
+
"eval_loss": 3.6575114727020264,
|
| 531 |
+
"eval_rouge-1": 0.3664,
|
| 532 |
+
"eval_rouge-2": 0.1771,
|
| 533 |
+
"eval_rouge-l": 0.3479,
|
| 534 |
+
"eval_runtime": 111.8035,
|
| 535 |
+
"eval_samples_per_second": 37.333,
|
| 536 |
+
"step": 33000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 3.06,
|
| 540 |
+
"learning_rate": 4.586612364883486e-05,
|
| 541 |
+
"loss": 3.1412,
|
| 542 |
+
"step": 34000
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 3.06,
|
| 546 |
+
"eval_loss": 3.6294667720794678,
|
| 547 |
+
"eval_rouge-1": 0.3687,
|
| 548 |
+
"eval_rouge-2": 0.1799,
|
| 549 |
+
"eval_rouge-l": 0.3504,
|
| 550 |
+
"eval_runtime": 108.0977,
|
| 551 |
+
"eval_samples_per_second": 38.613,
|
| 552 |
+
"step": 34000
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 3.15,
|
| 556 |
+
"learning_rate": 4.571301711731022e-05,
|
| 557 |
+
"loss": 3.0681,
|
| 558 |
+
"step": 35000
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 3.15,
|
| 562 |
+
"eval_loss": 3.5905728340148926,
|
| 563 |
+
"eval_rouge-1": 0.369,
|
| 564 |
+
"eval_rouge-2": 0.1812,
|
| 565 |
+
"eval_rouge-l": 0.3495,
|
| 566 |
+
"eval_runtime": 109.8754,
|
| 567 |
+
"eval_samples_per_second": 37.988,
|
| 568 |
+
"step": 35000
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 3.24,
|
| 572 |
+
"learning_rate": 4.5559910585785595e-05,
|
| 573 |
+
"loss": 3.047,
|
| 574 |
+
"step": 36000
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 3.24,
|
| 578 |
+
"eval_loss": 3.5687978267669678,
|
| 579 |
+
"eval_rouge-1": 0.3751,
|
| 580 |
+
"eval_rouge-2": 0.1869,
|
| 581 |
+
"eval_rouge-l": 0.3562,
|
| 582 |
+
"eval_runtime": 112.5879,
|
| 583 |
+
"eval_samples_per_second": 37.073,
|
| 584 |
+
"step": 36000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 3.33,
|
| 588 |
+
"learning_rate": 4.540680405426096e-05,
|
| 589 |
+
"loss": 3.0482,
|
| 590 |
+
"step": 37000
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 3.33,
|
| 594 |
+
"eval_loss": 3.522142171859741,
|
| 595 |
+
"eval_rouge-1": 0.374,
|
| 596 |
+
"eval_rouge-2": 0.1885,
|
| 597 |
+
"eval_rouge-l": 0.3553,
|
| 598 |
+
"eval_runtime": 110.8835,
|
| 599 |
+
"eval_samples_per_second": 37.643,
|
| 600 |
+
"step": 37000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 3.42,
|
| 604 |
+
"learning_rate": 4.525369752273632e-05,
|
| 605 |
+
"loss": 3.0085,
|
| 606 |
+
"step": 38000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 3.42,
|
| 610 |
+
"eval_loss": 3.497309446334839,
|
| 611 |
+
"eval_rouge-1": 0.3754,
|
| 612 |
+
"eval_rouge-2": 0.1889,
|
| 613 |
+
"eval_rouge-l": 0.3563,
|
| 614 |
+
"eval_runtime": 116.7032,
|
| 615 |
+
"eval_samples_per_second": 35.766,
|
| 616 |
+
"step": 38000
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 3.51,
|
| 620 |
+
"learning_rate": 4.510059099121169e-05,
|
| 621 |
+
"loss": 3.0179,
|
| 622 |
+
"step": 39000
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 3.51,
|
| 626 |
+
"eval_loss": 3.45327091217041,
|
| 627 |
+
"eval_rouge-1": 0.3766,
|
| 628 |
+
"eval_rouge-2": 0.1913,
|
| 629 |
+
"eval_rouge-l": 0.3568,
|
| 630 |
+
"eval_runtime": 110.7354,
|
| 631 |
+
"eval_samples_per_second": 37.693,
|
| 632 |
+
"step": 39000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 3.6,
|
| 636 |
+
"learning_rate": 4.494748445968705e-05,
|
| 637 |
+
"loss": 3.0008,
|
| 638 |
+
"step": 40000
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 3.6,
|
| 642 |
+
"eval_loss": 3.4268550872802734,
|
| 643 |
+
"eval_rouge-1": 0.3802,
|
| 644 |
+
"eval_rouge-2": 0.1942,
|
| 645 |
+
"eval_rouge-l": 0.3614,
|
| 646 |
+
"eval_runtime": 108.7986,
|
| 647 |
+
"eval_samples_per_second": 38.364,
|
| 648 |
+
"step": 40000
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 3.69,
|
| 652 |
+
"learning_rate": 4.4794377928162417e-05,
|
| 653 |
+
"loss": 2.973,
|
| 654 |
+
"step": 41000
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 3.69,
|
| 658 |
+
"eval_loss": 3.393805980682373,
|
| 659 |
+
"eval_rouge-1": 0.3835,
|
| 660 |
+
"eval_rouge-2": 0.197,
|
| 661 |
+
"eval_rouge-l": 0.3648,
|
| 662 |
+
"eval_runtime": 112.0812,
|
| 663 |
+
"eval_samples_per_second": 37.241,
|
| 664 |
+
"step": 41000
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 3.78,
|
| 668 |
+
"learning_rate": 4.4641271396637783e-05,
|
| 669 |
+
"loss": 2.9718,
|
| 670 |
+
"step": 42000
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"epoch": 3.78,
|
| 674 |
+
"eval_loss": 3.350437879562378,
|
| 675 |
+
"eval_rouge-1": 0.3877,
|
| 676 |
+
"eval_rouge-2": 0.2013,
|
| 677 |
+
"eval_rouge-l": 0.3682,
|
| 678 |
+
"eval_runtime": 111.3062,
|
| 679 |
+
"eval_samples_per_second": 37.5,
|
| 680 |
+
"step": 42000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 3.87,
|
| 684 |
+
"learning_rate": 4.4488164865113144e-05,
|
| 685 |
+
"loss": 2.9702,
|
| 686 |
+
"step": 43000
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 3.87,
|
| 690 |
+
"eval_loss": 3.321171998977661,
|
| 691 |
+
"eval_rouge-1": 0.3859,
|
| 692 |
+
"eval_rouge-2": 0.1992,
|
| 693 |
+
"eval_rouge-l": 0.3672,
|
| 694 |
+
"eval_runtime": 109.8134,
|
| 695 |
+
"eval_samples_per_second": 38.01,
|
| 696 |
+
"step": 43000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 3.96,
|
| 700 |
+
"learning_rate": 4.433505833358852e-05,
|
| 701 |
+
"loss": 2.6419,
|
| 702 |
+
"step": 44000
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 3.96,
|
| 706 |
+
"eval_loss": 3.341356039047241,
|
| 707 |
+
"eval_rouge-1": 0.3839,
|
| 708 |
+
"eval_rouge-2": 0.2012,
|
| 709 |
+
"eval_rouge-l": 0.3653,
|
| 710 |
+
"eval_runtime": 182.4115,
|
| 711 |
+
"eval_samples_per_second": 22.882,
|
| 712 |
+
"step": 44000
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 4.05,
|
| 716 |
+
"learning_rate": 4.418195180206388e-05,
|
| 717 |
+
"loss": 2.6177,
|
| 718 |
+
"step": 45000
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 4.05,
|
| 722 |
+
"eval_loss": 3.31478214263916,
|
| 723 |
+
"eval_rouge-1": 0.3896,
|
| 724 |
+
"eval_rouge-2": 0.2053,
|
| 725 |
+
"eval_rouge-l": 0.37,
|
| 726 |
+
"eval_runtime": 185.1687,
|
| 727 |
+
"eval_samples_per_second": 22.542,
|
| 728 |
+
"step": 45000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 4.14,
|
| 732 |
+
"learning_rate": 4.4028845270539244e-05,
|
| 733 |
+
"loss": 2.5985,
|
| 734 |
+
"step": 46000
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 4.14,
|
| 738 |
+
"eval_loss": 3.3024539947509766,
|
| 739 |
+
"eval_rouge-1": 0.3911,
|
| 740 |
+
"eval_rouge-2": 0.2066,
|
| 741 |
+
"eval_rouge-l": 0.3717,
|
| 742 |
+
"eval_runtime": 183.1915,
|
| 743 |
+
"eval_samples_per_second": 22.785,
|
| 744 |
+
"step": 46000
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 4.23,
|
| 748 |
+
"learning_rate": 4.387573873901461e-05,
|
| 749 |
+
"loss": 2.615,
|
| 750 |
+
"step": 47000
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 4.23,
|
| 754 |
+
"eval_loss": 3.285188913345337,
|
| 755 |
+
"eval_rouge-1": 0.3894,
|
| 756 |
+
"eval_rouge-2": 0.2047,
|
| 757 |
+
"eval_rouge-l": 0.371,
|
| 758 |
+
"eval_runtime": 183.8267,
|
| 759 |
+
"eval_samples_per_second": 22.706,
|
| 760 |
+
"step": 47000
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 4.32,
|
| 764 |
+
"learning_rate": 4.372263220748997e-05,
|
| 765 |
+
"loss": 2.6202,
|
| 766 |
+
"step": 48000
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 4.32,
|
| 770 |
+
"eval_loss": 3.2647767066955566,
|
| 771 |
+
"eval_rouge-1": 0.394,
|
| 772 |
+
"eval_rouge-2": 0.2099,
|
| 773 |
+
"eval_rouge-l": 0.3747,
|
| 774 |
+
"eval_runtime": 186.2005,
|
| 775 |
+
"eval_samples_per_second": 22.417,
|
| 776 |
+
"step": 48000
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 4.41,
|
| 780 |
+
"learning_rate": 4.356952567596534e-05,
|
| 781 |
+
"loss": 2.6072,
|
| 782 |
+
"step": 49000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 4.41,
|
| 786 |
+
"eval_loss": 3.2533161640167236,
|
| 787 |
+
"eval_rouge-1": 0.3925,
|
| 788 |
+
"eval_rouge-2": 0.2099,
|
| 789 |
+
"eval_rouge-l": 0.373,
|
| 790 |
+
"eval_runtime": 180.2911,
|
| 791 |
+
"eval_samples_per_second": 23.151,
|
| 792 |
+
"step": 49000
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 4.5,
|
| 796 |
+
"learning_rate": 4.3416419144440705e-05,
|
| 797 |
+
"loss": 2.612,
|
| 798 |
+
"step": 50000
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 4.5,
|
| 802 |
+
"eval_loss": 3.2256064414978027,
|
| 803 |
+
"eval_rouge-1": 0.3933,
|
| 804 |
+
"eval_rouge-2": 0.2113,
|
| 805 |
+
"eval_rouge-l": 0.3738,
|
| 806 |
+
"eval_runtime": 182.776,
|
| 807 |
+
"eval_samples_per_second": 22.837,
|
| 808 |
+
"step": 50000
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 4.59,
|
| 812 |
+
"learning_rate": 4.3263312612916065e-05,
|
| 813 |
+
"loss": 2.6108,
|
| 814 |
+
"step": 51000
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 4.59,
|
| 818 |
+
"eval_loss": 3.2123188972473145,
|
| 819 |
+
"eval_rouge-1": 0.3951,
|
| 820 |
+
"eval_rouge-2": 0.2122,
|
| 821 |
+
"eval_rouge-l": 0.3767,
|
| 822 |
+
"eval_runtime": 182.0897,
|
| 823 |
+
"eval_samples_per_second": 22.923,
|
| 824 |
+
"step": 51000
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 4.68,
|
| 828 |
+
"learning_rate": 4.311020608139143e-05,
|
| 829 |
+
"loss": 2.6334,
|
| 830 |
+
"step": 52000
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 4.68,
|
| 834 |
+
"eval_loss": 3.193678140640259,
|
| 835 |
+
"eval_rouge-1": 0.3971,
|
| 836 |
+
"eval_rouge-2": 0.2123,
|
| 837 |
+
"eval_rouge-l": 0.3779,
|
| 838 |
+
"eval_runtime": 184.0687,
|
| 839 |
+
"eval_samples_per_second": 22.676,
|
| 840 |
+
"step": 52000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 4.77,
|
| 844 |
+
"learning_rate": 4.29570995498668e-05,
|
| 845 |
+
"loss": 2.6086,
|
| 846 |
+
"step": 53000
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 4.77,
|
| 850 |
+
"eval_loss": 3.1697912216186523,
|
| 851 |
+
"eval_rouge-1": 0.3979,
|
| 852 |
+
"eval_rouge-2": 0.215,
|
| 853 |
+
"eval_rouge-l": 0.3786,
|
| 854 |
+
"eval_runtime": 183.0622,
|
| 855 |
+
"eval_samples_per_second": 22.801,
|
| 856 |
+
"step": 53000
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 4.86,
|
| 860 |
+
"learning_rate": 4.2803993018342166e-05,
|
| 861 |
+
"loss": 2.3308,
|
| 862 |
+
"step": 54000
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 4.86,
|
| 866 |
+
"eval_loss": 3.189683437347412,
|
| 867 |
+
"eval_rouge-1": 0.3961,
|
| 868 |
+
"eval_rouge-2": 0.2152,
|
| 869 |
+
"eval_rouge-l": 0.378,
|
| 870 |
+
"eval_runtime": 207.2919,
|
| 871 |
+
"eval_samples_per_second": 20.136,
|
| 872 |
+
"step": 54000
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 4.95,
|
| 876 |
+
"learning_rate": 4.265088648681753e-05,
|
| 877 |
+
"loss": 2.3303,
|
| 878 |
+
"step": 55000
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 4.95,
|
| 882 |
+
"eval_loss": 3.19010591506958,
|
| 883 |
+
"eval_rouge-1": 0.3982,
|
| 884 |
+
"eval_rouge-2": 0.2151,
|
| 885 |
+
"eval_rouge-l": 0.3788,
|
| 886 |
+
"eval_runtime": 209.6218,
|
| 887 |
+
"eval_samples_per_second": 19.912,
|
| 888 |
+
"step": 55000
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 5.04,
|
| 892 |
+
"learning_rate": 4.249777995529289e-05,
|
| 893 |
+
"loss": 2.3079,
|
| 894 |
+
"step": 56000
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 5.04,
|
| 898 |
+
"eval_loss": 3.1867759227752686,
|
| 899 |
+
"eval_rouge-1": 0.3958,
|
| 900 |
+
"eval_rouge-2": 0.2146,
|
| 901 |
+
"eval_rouge-l": 0.3764,
|
| 902 |
+
"eval_runtime": 209.3472,
|
| 903 |
+
"eval_samples_per_second": 19.938,
|
| 904 |
+
"step": 56000
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 5.13,
|
| 908 |
+
"learning_rate": 4.234467342376826e-05,
|
| 909 |
+
"loss": 2.2662,
|
| 910 |
+
"step": 57000
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 5.13,
|
| 914 |
+
"eval_loss": 3.1843576431274414,
|
| 915 |
+
"eval_rouge-1": 0.3966,
|
| 916 |
+
"eval_rouge-2": 0.2116,
|
| 917 |
+
"eval_rouge-l": 0.3765,
|
| 918 |
+
"eval_runtime": 216.9453,
|
| 919 |
+
"eval_samples_per_second": 19.24,
|
| 920 |
+
"step": 57000
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 5.22,
|
| 924 |
+
"learning_rate": 4.219156689224362e-05,
|
| 925 |
+
"loss": 2.2889,
|
| 926 |
+
"step": 58000
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 5.22,
|
| 930 |
+
"eval_loss": 3.1772937774658203,
|
| 931 |
+
"eval_rouge-1": 0.3928,
|
| 932 |
+
"eval_rouge-2": 0.2142,
|
| 933 |
+
"eval_rouge-l": 0.375,
|
| 934 |
+
"eval_runtime": 208.5252,
|
| 935 |
+
"eval_samples_per_second": 20.017,
|
| 936 |
+
"step": 58000
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 5.31,
|
| 940 |
+
"learning_rate": 4.203846036071899e-05,
|
| 941 |
+
"loss": 2.3055,
|
| 942 |
+
"step": 59000
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 5.31,
|
| 946 |
+
"eval_loss": 3.1666276454925537,
|
| 947 |
+
"eval_rouge-1": 0.3996,
|
| 948 |
+
"eval_rouge-2": 0.2174,
|
| 949 |
+
"eval_rouge-l": 0.3811,
|
| 950 |
+
"eval_runtime": 208.7841,
|
| 951 |
+
"eval_samples_per_second": 19.992,
|
| 952 |
+
"step": 59000
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"epoch": 5.4,
|
| 956 |
+
"learning_rate": 4.1885353829194354e-05,
|
| 957 |
+
"loss": 2.1645,
|
| 958 |
+
"step": 60000
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 5.4,
|
| 962 |
+
"eval_loss": 3.172426700592041,
|
| 963 |
+
"eval_rouge-1": 0.3976,
|
| 964 |
+
"eval_rouge-2": 0.2148,
|
| 965 |
+
"eval_rouge-l": 0.378,
|
| 966 |
+
"eval_runtime": 211.5986,
|
| 967 |
+
"eval_samples_per_second": 19.726,
|
| 968 |
+
"step": 60000
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 5.49,
|
| 972 |
+
"learning_rate": 4.173224729766972e-05,
|
| 973 |
+
"loss": 2.2381,
|
| 974 |
+
"step": 61000
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 5.49,
|
| 978 |
+
"eval_loss": 3.160379409790039,
|
| 979 |
+
"eval_rouge-1": 0.3999,
|
| 980 |
+
"eval_rouge-2": 0.2183,
|
| 981 |
+
"eval_rouge-l": 0.3808,
|
| 982 |
+
"eval_runtime": 207.4561,
|
| 983 |
+
"eval_samples_per_second": 20.12,
|
| 984 |
+
"step": 61000
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 5.58,
|
| 988 |
+
"learning_rate": 4.157914076614509e-05,
|
| 989 |
+
"loss": 2.2566,
|
| 990 |
+
"step": 62000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 5.58,
|
| 994 |
+
"eval_loss": 3.148230791091919,
|
| 995 |
+
"eval_rouge-1": 0.398,
|
| 996 |
+
"eval_rouge-2": 0.2167,
|
| 997 |
+
"eval_rouge-l": 0.379,
|
| 998 |
+
"eval_runtime": 205.4861,
|
| 999 |
+
"eval_samples_per_second": 20.313,
|
| 1000 |
+
"step": 62000
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 5.67,
|
| 1004 |
+
"learning_rate": 4.1426034234620455e-05,
|
| 1005 |
+
"loss": 2.2723,
|
| 1006 |
+
"step": 63000
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 5.67,
|
| 1010 |
+
"eval_loss": 3.145291566848755,
|
| 1011 |
+
"eval_rouge-1": 0.3968,
|
| 1012 |
+
"eval_rouge-2": 0.2183,
|
| 1013 |
+
"eval_rouge-l": 0.3781,
|
| 1014 |
+
"eval_runtime": 201.6935,
|
| 1015 |
+
"eval_samples_per_second": 20.695,
|
| 1016 |
+
"step": 63000
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 5.76,
|
| 1020 |
+
"learning_rate": 4.1272927703095815e-05,
|
| 1021 |
+
"loss": 2.288,
|
| 1022 |
+
"step": 64000
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 5.76,
|
| 1026 |
+
"eval_loss": 3.124877452850342,
|
| 1027 |
+
"eval_rouge-1": 0.3998,
|
| 1028 |
+
"eval_rouge-2": 0.2156,
|
| 1029 |
+
"eval_rouge-l": 0.3792,
|
| 1030 |
+
"eval_runtime": 203.9639,
|
| 1031 |
+
"eval_samples_per_second": 20.464,
|
| 1032 |
+
"step": 64000
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 5.85,
|
| 1036 |
+
"learning_rate": 4.111982117157118e-05,
|
| 1037 |
+
"loss": 2.2889,
|
| 1038 |
+
"step": 65000
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 5.85,
|
| 1042 |
+
"eval_loss": 3.128246545791626,
|
| 1043 |
+
"eval_rouge-1": 0.4007,
|
| 1044 |
+
"eval_rouge-2": 0.2195,
|
| 1045 |
+
"eval_rouge-l": 0.3822,
|
| 1046 |
+
"eval_runtime": 212.1813,
|
| 1047 |
+
"eval_samples_per_second": 19.672,
|
| 1048 |
+
"step": 65000
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 5.94,
|
| 1052 |
+
"learning_rate": 4.096671464004654e-05,
|
| 1053 |
+
"loss": 2.294,
|
| 1054 |
+
"step": 66000
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 5.94,
|
| 1058 |
+
"eval_loss": 3.1073431968688965,
|
| 1059 |
+
"eval_rouge-1": 0.3977,
|
| 1060 |
+
"eval_rouge-2": 0.2188,
|
| 1061 |
+
"eval_rouge-l": 0.3797,
|
| 1062 |
+
"eval_runtime": 205.3765,
|
| 1063 |
+
"eval_samples_per_second": 20.324,
|
| 1064 |
+
"step": 66000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 6.03,
|
| 1068 |
+
"learning_rate": 4.081360810852191e-05,
|
| 1069 |
+
"loss": 2.2157,
|
| 1070 |
+
"step": 67000
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 6.03,
|
| 1074 |
+
"eval_loss": 3.1187493801116943,
|
| 1075 |
+
"eval_rouge-1": 0.3977,
|
| 1076 |
+
"eval_rouge-2": 0.2172,
|
| 1077 |
+
"eval_rouge-l": 0.3789,
|
| 1078 |
+
"eval_runtime": 204.9076,
|
| 1079 |
+
"eval_samples_per_second": 20.37,
|
| 1080 |
+
"step": 67000
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 6.12,
|
| 1084 |
+
"learning_rate": 4.0660501576997276e-05,
|
| 1085 |
+
"loss": 1.9904,
|
| 1086 |
+
"step": 68000
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 6.12,
|
| 1090 |
+
"eval_loss": 3.1339566707611084,
|
| 1091 |
+
"eval_rouge-1": 0.4014,
|
| 1092 |
+
"eval_rouge-2": 0.2191,
|
| 1093 |
+
"eval_rouge-l": 0.3822,
|
| 1094 |
+
"eval_runtime": 206.8966,
|
| 1095 |
+
"eval_samples_per_second": 20.174,
|
| 1096 |
+
"step": 68000
|
| 1097 |
+
}
|
| 1098 |
+
],
|
| 1099 |
+
"max_steps": 333570,
|
| 1100 |
+
"num_train_epochs": 30,
|
| 1101 |
+
"total_flos": 2.6905869526822502e+17,
|
| 1102 |
+
"trial_name": null,
|
| 1103 |
+
"trial_params": null
|
| 1104 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:549768a1d0f2034fe1fd23498022e7fc827aeda2486b4b5c385c8b0a583d282b
|
| 3 |
+
size 2415
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|