Training in progress, step 500
Browse files- .gitattributes +1 -0
- .gitignore +1 -0
- config.json +52 -0
- pytorch_model.bin +3 -0
- runs/Jan18_06-19-01_7e7107f2480d/1674022939.9449596/events.out.tfevents.1674022939.7e7107f2480d.107.1 +3 -0
- runs/Jan18_06-19-01_7e7107f2480d/events.out.tfevents.1674022939.7e7107f2480d.107.0 +3 -0
- runs/Jan18_06-26-28_7e7107f2480d/1674023202.3771365/events.out.tfevents.1674023202.7e7107f2480d.107.3 +3 -0
- runs/Jan18_06-26-28_7e7107f2480d/1674023486.0752094/events.out.tfevents.1674023486.7e7107f2480d.107.4 +3 -0
- runs/Jan18_06-26-28_7e7107f2480d/events.out.tfevents.1674023202.7e7107f2480d.107.2 +3 -0
- runs/Jan18_06-29-17_7e7107f2480d/1674023508.070484/events.out.tfevents.1674023508.7e7107f2480d.107.6 +3 -0
- runs/Jan18_06-29-17_7e7107f2480d/events.out.tfevents.1674023508.7e7107f2480d.107.5 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +3 -0
- tokenizer_config.json +6 -0
- training_args.bin +3 -0
.gitattributes
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "digit82/kobart-summarization",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"dropout": 0.1,
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"encoder_attention_heads": 16,
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"encoder_layers": 6,
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"eos_token_id": 1,
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"extra_pos_embeddings": 2,
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"forced_eos_token_id": 2,
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"id2label": {
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"0": "NEGATIVE",
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"1": "POSITIVE"
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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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"NEGATIVE": 0,
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"POSITIVE": 1
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},
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"max_position_embeddings": 1026,
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"model_type": "bart",
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"normalize_before": false,
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"normalize_embedding": true,
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"num_hidden_layers": 6,
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"pad_token_id": 3,
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"scale_embedding": false,
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"static_position_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"use_cache": true,
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"vocab_size": 30000
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}
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pytorch_model.bin
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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