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{"_name_or_path": "microsoft/deberta-v3-small", "architectures": ["DebertaV2ForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "mnli", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "neutral", "2": "contradiction"}, "initializ... |
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{"_name_or_path": "../siamese/HF_models_rule_based/twostagetriplet_epochs_1_shard_1", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "cell": {}, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "... |
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{"_name_or_path": "microsoft/deberta-v3-small", "architectures": ["DebertaV2ForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "qnli", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "not_entailment"}, "initializer_range": 0.02... |
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{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-Chemical", "2": "I-Che... |
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{"_name_or_path": "allenai/scibert_scivocab_cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-Chemical", "2": "I-Chemical"}, "initializer_range": 0... |
{"_name_or_path": "microsoft/deberta-v3-small", "architectures": ["DebertaV2ForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "sst2", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "negative", "1": "positive"}, "initializer_range": 0.02, "inter... |
{"_name_or_path": "abhi1nandy2/EManuals_BERT", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1... |
{"_name_or_path": "AnonymousSub/specter-bert-model", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_e... |
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{"_num_labels": 1, "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx":... |
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{"_num_labels": 3, "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "O", "1": "typo", "2": "ok"}, "initializer_range": 0.02, "label2id": {"O": 0, "ok": 2, "typo": 1}, "max_position_embeddings": 512, "... |
{"_name_or_path": "./bert-base-uncased/", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.0, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": ... |
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{"_name_or_path": "AnonymousSub/unsup-consert-base", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.0, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_e... |
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