Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +49 -0
- pytorch_model.bin +3 -0
- runs/Aug21_22-03-49_LAPTOP-Q9A9IE7R/1692630289.7255397/events.out.tfevents.1692630289.LAPTOP-Q9A9IE7R.12516.1 +3 -0
- runs/Aug21_22-03-49_LAPTOP-Q9A9IE7R/events.out.tfevents.1692630289.LAPTOP-Q9A9IE7R.12516.0 +3 -0
- runs/Aug21_22-38-05_LAPTOP-Q9A9IE7R/1692632289.470397/events.out.tfevents.1692632289.LAPTOP-Q9A9IE7R.26876.1 +3 -0
- runs/Aug21_22-38-05_LAPTOP-Q9A9IE7R/events.out.tfevents.1692632289.LAPTOP-Q9A9IE7R.26876.0 +3 -0
- runs/Aug23_12-53-56_LAPTOP-Q9A9IE7R/1692770043.0408666/events.out.tfevents.1692770043.LAPTOP-Q9A9IE7R.12036.1 +3 -0
- runs/Aug23_12-53-56_LAPTOP-Q9A9IE7R/events.out.tfevents.1692770043.LAPTOP-Q9A9IE7R.12036.0 +3 -0
- runs/Aug23_12-56-42_LAPTOP-Q9A9IE7R/1692770207.2536077/events.out.tfevents.1692770207.LAPTOP-Q9A9IE7R.12036.3 +3 -0
- runs/Aug23_12-56-42_LAPTOP-Q9A9IE7R/events.out.tfevents.1692770207.LAPTOP-Q9A9IE7R.12036.2 +3 -0
- runs/Aug23_12-57-46_LAPTOP-Q9A9IE7R/1692770271.6637702/events.out.tfevents.1692770271.LAPTOP-Q9A9IE7R.25104.1 +3 -0
- runs/Aug23_12-57-46_LAPTOP-Q9A9IE7R/events.out.tfevents.1692770271.LAPTOP-Q9A9IE7R.25104.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "LiYuan/amazon-review-sentiment-analysis",
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"_num_labels": 5,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"finetuning_task": "sentiment-analysis",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "1 star",
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"1": "2 stars",
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"2": "3 stars",
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"3": "4 stars",
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"label2id": {
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"1 star": 0,
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"3 stars": 2,
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"4 stars": 3,
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"5 stars": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.28.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 105879
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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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vocab.txt
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