citation_intent_classification_roberta_dapt
Browse files- last-checkpoint/config.json +0 -45
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +0 -3
- last-checkpoint/pytorch_model.bin +0 -3
- last-checkpoint/rng_state.pth +0 -3
- last-checkpoint/special_tokens_map.json +0 -15
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +0 -15
- last-checkpoint/trainer_state.json +0 -64
- last-checkpoint/training_args.bin +0 -3
- last-checkpoint/vocab.json +0 -0
- pytorch_model.bin +1 -1
- runs/Apr21_00-03-51_jupyter/events.out.tfevents.1713657834.jupyter.2697769.6 +2 -2
- last-checkpoint/scheduler.pt → runs/Apr21_00-03-51_jupyter/events.out.tfevents.1713658305.jupyter.2697769.7 +2 -2
last-checkpoint/config.json
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{
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"_name_or_path": "ltuzova/cs_domain_pretrained_model",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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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": "Background",
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"1": "CompareOrContrast",
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"2": "Uses",
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"3": "Motivation",
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"4": "Future",
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"5": "Extends"
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},
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"label2id": {
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"Extends": 5,
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"Motivation": 3,
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"Uses": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_of_labels": 6,
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"pad_token_id": 1,
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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": "4.30.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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last-checkpoint/merges.txt
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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/special_tokens_map.json
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"bos_token": "<s>",
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"cls_token": "<s>",
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"lstrip": true,
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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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"add_prefix_space": false,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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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": 512,
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"pad_token": "<pad>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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last-checkpoint/trainer_state.json
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last-checkpoint/training_args.bin
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last-checkpoint/vocab.json
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pytorch_model.bin
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runs/Apr21_00-03-51_jupyter/events.out.tfevents.1713657834.jupyter.2697769.6
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last-checkpoint/scheduler.pt → runs/Apr21_00-03-51_jupyter/events.out.tfevents.1713658305.jupyter.2697769.7
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