Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +31 -0
- pytorch_model.bin +3 -0
- runs/Mar20_17-37-04_14a56da236de/1679333832.1487916/events.out.tfevents.1679333832.14a56da236de.156.1 +3 -0
- runs/Mar20_17-37-04_14a56da236de/events.out.tfevents.1679333832.14a56da236de.156.0 +3 -0
- runs/Mar20_17-54-28_14a56da236de/1679334873.7485187/events.out.tfevents.1679334873.14a56da236de.156.3 +3 -0
- runs/Mar20_17-54-28_14a56da236de/1679334920.931705/events.out.tfevents.1679334920.14a56da236de.156.4 +3 -0
- runs/Mar20_17-54-28_14a56da236de/events.out.tfevents.1679334873.14a56da236de.156.2 +3 -0
- runs/Mar20_17-56-16_14a56da236de/1679334992.611391/events.out.tfevents.1679334992.14a56da236de.156.6 +3 -0
- runs/Mar20_17-56-16_14a56da236de/events.out.tfevents.1679334992.14a56da236de.156.5 +3 -0
- runs/Mar20_17-57-47_14a56da236de/1679335073.8980074/events.out.tfevents.1679335073.14a56da236de.156.8 +3 -0
- runs/Mar20_17-57-47_14a56da236de/events.out.tfevents.1679335073.14a56da236de.156.7 +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +5 -0
- training_args.bin +3 -0
- vocab.txt +33 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "facebook/esm2_t12_35M_UR50D",
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"architectures": [
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"EsmForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 480,
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"initializer_range": 0.02,
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"intermediate_size": 1920,
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"is_folding_model": false,
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"layer_norm_eps": 1e-05,
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"mask_token_id": 32,
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"max_position_embeddings": 1026,
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"model_type": "esm",
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"num_attention_heads": 20,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "rotary",
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"problem_type": "single_label_classification",
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"token_dropout": true,
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"torch_dtype": "float32",
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"transformers_version": "4.27.1",
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"use_cache": true,
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"vocab_list": null,
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"vocab_size": 33
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}
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pytorch_model.bin
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special_tokens_map.json
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{
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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tokenizer_config.json
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{
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"model_max_length": 1024,
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"tokenizer_class": "EsmTokenizer"
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}
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training_args.bin
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vocab.txt
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<cls>
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<pad>
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<eos>
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<unk>
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<null_1>
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<mask>
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