end of training 3 epochs
Browse files- last-checkpoint/config.json +0 -38
- last-checkpoint/optimizer.pt +0 -3
- last-checkpoint/pytorch_model.bin +0 -3
- last-checkpoint/rng_state.pth +0 -3
- last-checkpoint/scheduler.pt +0 -3
- last-checkpoint/special_tokens_map.json +0 -7
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +0 -14
- last-checkpoint/trainer_state.json +0 -33
- last-checkpoint/training_args.bin +0 -3
- last-checkpoint/vocab.txt +0 -0
- pytorch_model.bin +1 -1
- runs/Jan05_19-40-41_b5ac567dc3a2/events.out.tfevents.1672947724.b5ac567dc3a2.100.0 +2 -2
last-checkpoint/config.json
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{
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"_name_or_path": "distilbert-base-cased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "anger",
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"1": "joy",
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"2": "optimism",
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"3": "sadness"
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},
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"initializer_range": 0.02,
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"label2id": {
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"anger": 0,
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"joy": 1,
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"optimism": 2,
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"sadness": 3
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"vocab_size": 28996
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}
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last-checkpoint/optimizer.pt
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last-checkpoint/pytorch_model.bin
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "distilbert-base-cased",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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last-checkpoint/trainer_state.json
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{
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"best_metric": 0.6653782343181899,
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"best_model_checkpoint": "bert-emotion/checkpoint-815",
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"epoch": 1.0,
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"global_step": 815,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"learning_rate": 3.3333333333333335e-05,
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"loss": 0.8665,
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"step": 815
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},
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{
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"epoch": 1.0,
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"eval_fscore": 0.6653782343181899,
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"eval_loss": 0.7583439350128174,
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"eval_precision": 0.7486461049924206,
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"eval_recall": 0.6417498624464265,
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"eval_runtime": 0.6738,
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"eval_samples_per_second": 555.042,
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"eval_steps_per_second": 139.503,
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"step": 815
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}
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],
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"max_steps": 2445,
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"num_train_epochs": 3,
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"total_flos": 31684123606128.0,
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"trial_name": null,
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}
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last-checkpoint/training_args.bin
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size 3387
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last-checkpoint/vocab.txt
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pytorch_model.bin
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runs/Jan05_19-40-41_b5ac567dc3a2/events.out.tfevents.1672947724.b5ac567dc3a2.100.0
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