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{"_name_or_path": "/scratch/j20200059/declutr/distilroberta-base", "architectures": ["RobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initi... |
{"_num_labels": 2, "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_ep... |
{"_name_or_path": "/scratch/j20200059/declutr/output_transformers_2", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_s... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "mrpc", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_equivalent", "1": "equivalent"}, "initializer_range": 0.02, "interme... |
{"_num_labels": 2, "architectures": ["RobertaForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "ADJ", "2": "ADP", "3": "ADV", "4": "AUX", "5": "CCONJ", "6": "DET", "7": "I... |
{"_num_labels": 2, "architectures": ["RobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-05, "max_position_embeddings": 514, "mod... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "qnli", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "not_entailment"}, "initializer_range": 0.02, "interme... |
{"_name_or_path": "AnonymousSub/declutr-model", "architectures": ["RobertaForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_ran... |
{"_num_labels": 2, "architectures": ["RobertaForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-05, "max_position_embeddings": ... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "qqp", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_duplicate", "1": "duplicate"}, "initializer_range": 0.02, "intermedia... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "bert-base-multilingual-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "la... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "rte", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "not_entailment"}, "initializer_range": 0.02, "intermed... |
{"_name_or_path": "AnonymousSub/dummy_2_parent", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "sst2", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "negative", "1": "positive"}, "initializer_range": 0.02, "intermediate_si... |
{"_name_or_path": "rohanrajpal/bert-base-en-hi-codemix-cased", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "negative", "... |
{"_name_or_path": "t5-base", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5"... |
{"_num_labels": 9, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "cell": {}, "emb_size": 312, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 312, "id2label": {"0": "B-LOC", "1": "B-MISC", "2": "B-ORG", "3": "B-PER", "4": "I-LOC", "5": "I-MISC", "6": "I-ORG", "7"... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "stsb", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "intermediate_size": 3072, "label2... |
{"_name_or_path": "../siamese/HF_models/hier_triplet_epochs_1_shard_1", "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": ... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "wnli", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_entailment", "1": "entailment"}, "initializer_range": 0.02, "interme... |
{"_name_or_path": "google/fnet-large", "actual_seq_length": 512, "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "cola", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "unacceptable", "1": "acceptable"}, "initiali... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "./outputs/checkpoint-5478-epoch-2", "architectures": ["RobertaForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_s... |
{"_name_or_path": "../siamese/HF_models/hier_triplet_epochs_1_shard_10", "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":... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "../siamese/HF_models_rule_based/bert_hier_diff_equal_wts_epochs_1_shard_1", "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... |
{"architectures": ["AlbertForSequenceClassificationWithPabee"], "attention_probs_dropout_prob": 0, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 3, "finetuning_task": "mnli", "gap_size": 0, "hidden_act": "gelu_new", "hidden_dropout_prob": 0, "hidden_si... |
{"_name_or_path": "../siamese/HF_models_rule_based/bert_hier_diff_equal_wts_epochs_1_shard_10", "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": 0.0... |
{"_name_or_path": "google/fnet-base", "architectures": ["FNetForSequenceClassification"], "bos_token_id": 1, "eos_token_id": 2, "finetuning_task": "mnli", "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "neutral", "2": "contradiction"}, "initializer_range":... |
{"_name_or_path": "../siamese/HF_models_nonparallel_rule_based/bert_mean_diff_epochs_1_shard_1", "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.... |
{"architectures": ["T5Model"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_positions": 512, "num_decoder_layers": 24, "num_heads": 16, "num_layer... |
{"_name_or_path": "./outputs/checkpoint-3652-epoch-2", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermedi... |
{"_name_or_path": "../siamese/HF_models_nonparallel_rule_based/bert_mean_diff_epochs_1_shard_10", "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... |
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