init commit;
Browse files- config.json +75 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +276 -0
- vocab.json +0 -0
config.json
ADDED
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@@ -0,0 +1,75 @@
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{
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"_name_or_path": "facebook/bart-base",
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classif_dropout": 0.1,
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"classifier_dropout": 0.0,
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"d_model": 768,
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"decoder_attention_heads": 12,
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"decoder_ffn_dim": 3072,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 12,
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"encoder_ffn_dim": 3072,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"normalize_embedding": true,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
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"length_penalty": 1.0,
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"max_length": 128,
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"min_length": 12,
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"num_beams": 4
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},
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"summarization_cnn": {
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"num_beams": 4
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},
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"summarization_xsum": {
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"length_penalty": 1.0,
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"max_length": 62,
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"min_length": 11,
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"num_beams": 6
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.21.2",
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
ADDED
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The diff for this file is too large to render.
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:613b9b6fe431c1f82e2bec492a78a465767c65aef7fc444a9006a2bec083d2e3
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size 557969145
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special_tokens_map.json
ADDED
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"name_or_path": "facebook/bart-base",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "BartTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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trainer_state.json
ADDED
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{
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"best_metric": 24.761,
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| 3 |
+
"best_model_checkpoint": "./output\\checkpoint-1052",
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| 4 |
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"epoch": 20.0,
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| 5 |
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"global_step": 10520,
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| 6 |
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"is_hyper_param_search": false,
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| 7 |
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"is_local_process_zero": true,
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| 8 |
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"is_world_process_zero": true,
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| 9 |
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"log_history": [
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| 10 |
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{
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| 11 |
+
"epoch": 1.0,
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| 12 |
+
"learning_rate": 9.5e-06,
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| 13 |
+
"loss": 3.0166,
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| 14 |
+
"step": 526
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| 15 |
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},
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| 16 |
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{
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| 17 |
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"epoch": 1.0,
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| 18 |
+
"eval_gen_len": 15.76,
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| 19 |
+
"eval_rouge2": 6.32,
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| 20 |
+
"eval_rougeL": 21.606,
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| 21 |
+
"step": 526
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| 22 |
+
},
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| 23 |
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{
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| 24 |
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"epoch": 2.0,
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| 25 |
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"learning_rate": 9e-06,
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| 26 |
+
"loss": 2.7368,
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| 27 |
+
"step": 1052
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| 28 |
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},
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| 29 |
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{
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| 30 |
+
"epoch": 2.0,
|
| 31 |
+
"eval_gen_len": 22.06,
|
| 32 |
+
"eval_rouge2": 8.84,
|
| 33 |
+
"eval_rougeL": 24.761,
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| 34 |
+
"step": 1052
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| 35 |
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},
|
| 36 |
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{
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| 37 |
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"epoch": 3.0,
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| 38 |
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"learning_rate": 8.5e-06,
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| 39 |
+
"loss": 2.5849,
|
| 40 |
+
"step": 1578
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| 41 |
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},
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| 42 |
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{
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| 43 |
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"epoch": 3.0,
|
| 44 |
+
"eval_gen_len": 19.17,
|
| 45 |
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"eval_rouge2": 7.97,
|
| 46 |
+
"eval_rougeL": 23.301,
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| 47 |
+
"step": 1578
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| 48 |
+
},
|
| 49 |
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{
|
| 50 |
+
"epoch": 4.0,
|
| 51 |
+
"learning_rate": 8.000000000000001e-06,
|
| 52 |
+
"loss": 2.4639,
|
| 53 |
+
"step": 2104
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| 54 |
+
},
|
| 55 |
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{
|
| 56 |
+
"epoch": 4.0,
|
| 57 |
+
"eval_gen_len": 16.53,
|
| 58 |
+
"eval_rouge2": 6.92,
|
| 59 |
+
"eval_rougeL": 22.252,
|
| 60 |
+
"step": 2104
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| 61 |
+
},
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| 62 |
+
{
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| 63 |
+
"epoch": 5.0,
|
| 64 |
+
"learning_rate": 7.500000000000001e-06,
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| 65 |
+
"loss": 2.3647,
|
| 66 |
+
"step": 2630
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| 67 |
+
},
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| 68 |
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{
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| 69 |
+
"epoch": 5.0,
|
| 70 |
+
"eval_gen_len": 15.61,
|
| 71 |
+
"eval_rouge2": 6.25,
|
| 72 |
+
"eval_rougeL": 21.732,
|
| 73 |
+
"step": 2630
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| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 6.0,
|
| 77 |
+
"learning_rate": 7e-06,
|
| 78 |
+
"loss": 2.2886,
|
| 79 |
+
"step": 3156
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| 80 |
+
},
|
| 81 |
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{
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| 82 |
+
"epoch": 6.0,
|
| 83 |
+
"eval_gen_len": 16.78,
|
| 84 |
+
"eval_rouge2": 7.3,
|
| 85 |
+
"eval_rougeL": 23.088,
|
| 86 |
+
"step": 3156
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| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
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"epoch": 7.0,
|
| 90 |
+
"learning_rate": 6.5000000000000004e-06,
|
| 91 |
+
"loss": 2.202,
|
| 92 |
+
"step": 3682
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| 93 |
+
},
|
| 94 |
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{
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| 95 |
+
"epoch": 7.0,
|
| 96 |
+
"eval_gen_len": 18.84,
|
| 97 |
+
"eval_rouge2": 6.67,
|
| 98 |
+
"eval_rougeL": 22.378,
|
| 99 |
+
"step": 3682
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| 100 |
+
},
|
| 101 |
+
{
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| 102 |
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"epoch": 8.0,
|
| 103 |
+
"learning_rate": 6e-06,
|
| 104 |
+
"loss": 2.1348,
|
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