End of training
Browse files- config.json +21 -27
- merges.txt +0 -0
- pytorch_model.bin +2 -2
- runs/May02_15-19-35_bb8-lix.polytechnique.fr/events.out.tfevents.1651498074.bb8-lix.polytechnique.fr +2 -2
- runs/May02_15-43-55_bb8-lix.polytechnique.fr/1651499040.2684743/events.out.tfevents.1651499040.bb8-lix.polytechnique.fr +3 -0
- runs/May02_15-43-55_bb8-lix.polytechnique.fr/events.out.tfevents.1651499040.bb8-lix.polytechnique.fr +3 -0
- runs/May02_15-43-55_bb8-lix.polytechnique.fr/events.out.tfevents.1651499975.bb8-lix.polytechnique.fr +3 -0
- special_tokens_map.json +1 -1
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "
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"activation": "gelu",
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"architectures": [
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},
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"initializer_range": 0.02,
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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": "4.15.0",
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"
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}
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{
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"_name_or_path": "cardiffnlp/twitter-roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"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": "4.15.0",
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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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merges.txt
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pytorch_model.bin
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runs/May02_15-19-35_bb8-lix.polytechnique.fr/events.out.tfevents.1651498074.bb8-lix.polytechnique.fr
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runs/May02_15-43-55_bb8-lix.polytechnique.fr/1651499040.2684743/events.out.tfevents.1651499040.bb8-lix.polytechnique.fr
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runs/May02_15-43-55_bb8-lix.polytechnique.fr/events.out.tfevents.1651499975.bb8-lix.polytechnique.fr
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special_tokens_map.json
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{"unk_token": "
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{"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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tokenizer.json
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tokenizer_config.json
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{"
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{"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "cardiffnlp/twitter-roberta-base", "tokenizer_class": "RobertaTokenizer"}
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training_args.bin
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vocab.json
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