guilhermelmello
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- config.json +31 -0
- generation_config.json +5 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- step_0/optimizer.bin +3 -0
- step_0/pytorch_model.bin +3 -0
- step_0/random_states_0.pkl +3 -0
- step_0/random_states_1.pkl +3 -0
- step_0/random_states_2.pkl +3 -0
- step_0/random_states_3.pkl +3 -0
- step_0/random_states_4.pkl +3 -0
- step_0/random_states_5.pkl +3 -0
- step_0/random_states_6.pkl +3 -0
- step_0/scaler.pt +3 -0
- step_0/scheduler.bin +3 -0
- step_10000/optimizer.bin +3 -0
- step_10000/pytorch_model.bin +3 -0
- step_10000/random_states_0.pkl +3 -0
- step_10000/random_states_1.pkl +3 -0
- step_10000/random_states_2.pkl +3 -0
- step_10000/random_states_3.pkl +3 -0
- step_10000/random_states_4.pkl +3 -0
- step_10000/random_states_5.pkl +3 -0
- step_10000/random_states_6.pkl +3 -0
- step_10000/scaler.pt +3 -0
- step_10000/scheduler.bin +3 -0
- step_15000/optimizer.bin +3 -0
- step_15000/pytorch_model.bin +3 -0
- step_15000/random_states_0.pkl +3 -0
- step_15000/random_states_1.pkl +3 -0
- step_15000/random_states_2.pkl +3 -0
- step_15000/random_states_3.pkl +3 -0
- step_15000/random_states_4.pkl +3 -0
- step_15000/random_states_5.pkl +3 -0
- step_15000/random_states_6.pkl +3 -0
- step_15000/scaler.pt +3 -0
- step_15000/scheduler.bin +3 -0
- step_20000/optimizer.bin +3 -0
- step_20000/pytorch_model.bin +3 -0
- step_20000/random_states_0.pkl +3 -0
- step_20000/random_states_1.pkl +3 -0
- step_20000/random_states_2.pkl +3 -0
- step_20000/random_states_3.pkl +3 -0
- step_20000/random_states_4.pkl +3 -0
- step_20000/random_states_5.pkl +3 -0
- step_20000/random_states_6.pkl +3 -0
- step_20000/scaler.pt +3 -0
- step_20000/scheduler.bin +3 -0
- step_5000/optimizer.bin +3 -0
- step_5000/pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "./mlm_mbert_carolina_base/step_20000/",
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"architectures": [
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"BertForMaskedLM"
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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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"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-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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"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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"torch_dtype": "float32",
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"transformers_version": "4.31.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.31.0.dev0"
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}
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pytorch_model.bin
ADDED
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special_tokens_map.json
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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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step_0/optimizer.bin
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step_0/pytorch_model.bin
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step_0/random_states_0.pkl
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step_20000/random_states_5.pkl
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step_20000/random_states_6.pkl
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step_20000/scaler.pt
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step_5000/optimizer.bin
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step_5000/pytorch_model.bin
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