text
stringlengths
21
3.17k
{"_name_or_path": "imvladikon/het5-base", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, ...
{"_name_or_path": "/opt/ml/final-project-level3-nlp-01/experiment/mnmt", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 1, "embd_pdrop": 0.1, "eos_token_id": 1, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_em...
{"_name_or_path": "/tmp/tmp6gelg9oe", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_token_...
{"_name_or_path": "roberta-base", "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, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2...
{"_name_or_path": "mt5-small-itquad-qg-ae", "add_prefix": true, "architectures": ["MT5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_e...
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "is_decoder": true, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head":...
{"_name_or_path": "./artifacts/model-22apaysv-1673-0.7881:v0", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": 0.2, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 76...
{"_name_or_path": "cardiffnlp/twitter-roberta-base-stance-abortion", "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_si...
{"_name_or_path": "roberta_base_uk", "architectures": ["RobertaForMaskedLM"], "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_size": 3072, "layer_norm_eps...
{"_name_or_path": "imvladikon/het5-large", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2816, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true...
{"_name_or_path": "roberta_large_uk", "architectures": ["RobertaForMaskedLM"], "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": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_e...
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "burger", "1": "butter_naan", "10": "kaathi_rolls", "11": "kadai_panee...
{"_name_or_path": "xlnet-base-cased", "architectures": ["XLNetForSequenceClassification"], "attn_type": "bi", "bi_data": false, "bos_token_id": 1, "clamp_len": -1, "d_head": 64, "d_inner": 3072, "d_model": 768, "dropout": 0.1, "end_n_top": 5, "eos_token_id": 2, "ff_activation": "gelu", "initializer_range": 0.02, "layer...
{"_name_or_path": "nlpaueb/legal-bert-base-uncased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_ids": 0, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_...
{"_name_or_path": "./climatebert-environmental-claims", "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, "id2label": {"0": "no", "1": "yes"},...
{"_name_or_path": "vasugoel/K-12BERT", "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": 1e-12, "m...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-CHEM", "2": "I-CHEM"}, "initializer...
{"_name_or_path": "/content/outputs/checkpoint-10310-epoch-1", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "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_e...
{"_name_or_path": "bert-base-german-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}, "initializer_range": 0.02, ...
{"_name_or_path": "microsoft/layoutlm-base-uncased", "architectures": ["LongLayoutLMForMaskedLM"], "attention_probs_dropout_prob": 0.1, "attention_window": [512, 512, 512, 512, 512, 512, 512, 512, 512, 512, 512, 512], "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2...
{"_name_or_path": "./facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contr...
{"_name_or_path": "mt5-small-frquad-qg-ae", "add_prefix": true, "architectures": ["MT5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_e...
{"_name_or_path": "dpalominop/biobert-giotto", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "do_lower_case": false, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps":...
{"_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "sst-2", "hidden_dim": 3072, "id2label": {"0": "NEGATIVE", "1": "POSITIVE"}, "initializer_range": ...
{"_name_or_path": "./artifacts/model-2z8080pi-1720-0.8891:v0", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": 0.2, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 76...
{"architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "eos_token_ids": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "B-DIS", "1": "B-OCC", "2": "B-RES", "3": "I-DIS", "4": "I-OCC...
{"_name_or_path": "bert-apoyo", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}, "initializer_range": 0.02, "interm...
{"_name_or_path": "distilroberta-base", "architectures": ["RobertaForMaskedLM"], "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_size": 3072, "layer_norm_...
{"_name_or_path": "/gdrive/My Drive/RedditAMA/mt5-ama-base-topicos-checkpoint-1", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_dec...
{"_name_or_path": "indobert-lite-base-p2", "_num_labels": 5, "architectures": ["AlbertForTokenClassification"], "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": "ner", "gap_size": 0, "hidden_act": "...
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForMaskedLM"], "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": 1e-...
{"_name_or_path": "google/pegasus-pubmed", "activation_dropout": 0.1, "activation_function": "relu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["PegasusForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0, "d_model": 10...
{"_name_or_path": "AutoTrain", "_num_labels": 2, "architectures": ["DebertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "0", "1": "1"}, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"0": 0, ...
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "Cooling tower", "1": "Transmission grid", "2": "Wind turbines"}, "image_size": 224, "initia...
{"_name_or_path": "bert-base-chinese", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": 0, "1": 1}, "initializer_range": 0.02, "intermedia...
{"_name_or_path": "roberta-base", "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, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2...
{"_name_or_path": "AutoTrain", "_num_labels": 2, "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "0", "1": "1"}, "initializer_rang...
{"_name_or_path": "junnyu/wobert_chinese_base", "architectures": ["BertForCL"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e...
{"_name_or_path": "/home/dracoglacius/StemmlerProject/MIke_GPT2/WordBBPEModels/8_24_Word_Lvl_GPT2/FineTunedWordLvlGPT2/checkpoint-30880", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 2, "gradient_checkpointing": false, ...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.0, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 512, ...
{"activation_dropout": 0.1, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, 3, 3, 3, 2, 2], "con...
{"_name_or_path": "deepset/gbert-large", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_eps": 1e-12, "max_position_embeddings":...
{"_name_or_path": "/content/Rewrite5", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global",...
{"speechbrain_interface": "EncoderASR", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2Model"], "attention_dropout": 0.1, "bos_token_id": 1, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel"...
{"train": {"use_cuda": true, "log_interval": 20, "seed": 1234, "epochs": 10000, "learning_rate": 1.0, "betas": [0.9, 0.98], "eps": 1e-09, "warmup_steps": 4000, "scheduler": "noam", "batch_size": 28, "ddi": true, "fp16_run": false}, "data": {"load_mel_from_disk": false, "training_files": "../../common/hi_01/train.txt", ...
{"_name_or_path": "xlm-roberta-base", "architectures": ["XLMRobertaForTokenClassification"], "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, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LAB...
{"architectures": ["AlbertForMaskedLM"], "attention_probs_dropout_prob": 0, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "embedding_size": 128, "eos_token_id": 3, "hidden_act": "gelu_new", "hidden_dropout_prob": 0, "hidden_size": 768, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 3072, "la...
{"_name_or_path": "/content/drive/MyDrive/bloom-560m-finetuned-xsum/checkpoint-105000", "apply_residual_connection_post_layernorm": false, "architectures": ["BloomForCausalLM"], "attention_dropout": 0.0, "attention_softmax_in_fp32": true, "bias_dropout_fusion": true, "bos_token_id": 1, "eos_token_id": 2, "hidden_dropou...
{"_name_or_path": "onnx/config.json", "architectures": ["XLMRobertaForSequenceClassification"], "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, "id2label": {"0": ...
{"_name_or_path": "/content/drive/MyDrive/wav2vec2-base-vn/fosd/checkpoint-96000", "activation_dropout": 0.1, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, ...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "...
{"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3"}, "i...
{"_name_or_path": "Salesforce/codet5-base", "architectures": ["T5ForConditionalGeneration"], "bos_token_id": 1, "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 2, "feed_forward_proj": "relu", "gradient_checkpointing": false, "id2label": {"0": "LABEL_0"}, "init...
{"_name_or_path": "zphang/pegasus-x-large", "activation_dropout": 0.1, "activation_function": "relu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["PegasusXForConditionalGeneration"], "attention_dropout": 0.1, "block_size": 512, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout...
{"_name_or_path": "zphang/pegasus-x-base", "activation_dropout": 0.1, "activation_function": "relu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["PegasusXForConditionalGeneration"], "attention_dropout": 0.1, "block_size": 512, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout"...
{"_name_or_path": "gpt2-medium", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 1024, "n_head": 16, "n_inne...
{"_name_or_path": "gpt2-medium", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 1024, "n_head": 16, "n_inne...
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "mishaljohn", "1": "not mishaljohn"}, "image_size": 224, "initializer_...
{"_name_or_path": "roberta-base", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "finetuning_task": "mrpc", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_equivale...
{"_name_or_path": "zphang/pegasus-x-base-arxiv", "activation_dropout": 0.1, "activation_function": "relu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["PegasusXForConditionalGeneration"], "attention_dropout": 0.1, "block_size": 512, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dr...
{"_name_or_path": "/content/drive/MyDrive/k2c_model", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true...
{"_name_or_path": "opus-mt-de-en", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[58100]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropou...
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3"}, "initializer_range": 0.02, "label2id": {"LA...
{"_name_or_path": "84rry/84rry-xls-r-300M-AR", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_lo...
{"_name_or_path": "bart-base-japanese-news", "activation_dropout": 0.1, "activation_function": "gelu", "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_dropout": 0.0, "d_model": 768, "decoder_attention_heads": 12, "decoder_ffn_dim": 3072, "decoder_layerdrop": 0...
{"_name_or_path": "output/training_nli_by_MNRloss_klue-roberta-base-2022-04-04_05-37-06/", "architectures": ["RobertaModel"], "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_...
{"_name_or_path": "microsoft/codebert-base", "architectures": ["RobertaForTokenClassification"], "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_size": 30...
{"architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "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", "n_positions": 512, "num_d...
{"_name_or_path": "Helsinki-NLP/opus-mt-es-en", "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[65000]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0...
{"_name_or_path": "wav2vec2-base-german", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.0, "bos_token_id": 0, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_...
{"_name_or_path": "cardiffnlp/twitter-roberta-base-mar2022", "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_size": 768...
{"_name_or_path": "gpt2-large", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 1280, "n_head": 20, "n_inner...
{"_name_or_path": "dropout05/t5_2l_8h_512d_2048ff_vocab32128", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "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_e...
{"architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "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", "n_positions": 512, "num_d...
{"activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": f...
{"_name_or_path": "AutoNLP", "_num_labels": 3, "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "1.0", "1": "2.0", "2": "3.0"}, "initializer_range": 0.02, "int...
{"_name_or_path": "unicamp-dl/mMiniLM-L6-v2-mmarco-v2", "architectures": ["XLMRobertaForSequenceClassification"], "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": 384, "id2label": {"0": "LABEL_0"}, "in...
{"_name_or_path": "Helsinki-NLP/opus-mt-en-ro", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[59542]], "bos_token_id": 0, "classif_dropout": 0.0, "clas...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "sadness", "1": "joy", "2": "love", "3": "ang...
{"activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": t...
{"_name_or_path": "exafluence/BERT-ClinicalQA", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_t...
{"activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": t...
{"_name_or_path": "AutoNLP", "_num_labels": 3, "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, "id2label": {"0": "1.0", "1": "2.0", "2"...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-POP", "2": "I-POP", "3": "B-INT", "...
{"_name_or_path": "/tmp/tmp2nmm40wv", "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, "initializer_range": 0.02, "interme...
{"_name_or_path": "/root/.cache/torch/sentence_transformers/AsmaAsma_my-awesome-setfit-model/", "architectures": ["MPNetModel"], "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"...
{"_name_or_path": "roberta-large", "architectures": ["RobertaForTokenClassification"], "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": 1024, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"...
{"_name_or_path": "fav-kky/FERNET-C5", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_posit...
{"_name_or_path": "dmis-lab/biobert-v1.1", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-ADJP", "10": "I-LST", "11": "B-NP",...
{"_name_or_path": "projecte-aina/roberta-base-ca-v2", "architectures": ["RobertaForQuestionAnswering"], "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, "intermedia...
{"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3", "4"...
{"_name_or_path": "dccuchile/bert-base-spanish-wwm-cased", "architectures": ["BertForMaskedLM"], "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, "...
{"_name_or_path": "BSC-TeMU/roberta-base-ca", "architectures": ["RobertaForTokenClassification"], "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, "id2label": {"0"...
{"_name_or_path": "AutoTrain", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "negative", "1": "positive"}, "image_size": 224, "initializer_range": 0.02, "intermediate_size...
{"_name_or_path": "Akert/test01", "architectures": ["BertForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "language": "english", "layer_norm_eps": 1e-12, "m...
{"_name_or_path": "PlanTL-GOB-ES/bsc-bio-ehr-es-cantemist", "architectures": ["RobertaForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0...
{"_name_or_path": "theojolliffe/bart-paraphrase-v4-e1-feedback", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout": 0.1, "classifier_dropout"...
{"_name_or_path": "mushrafi88/wav2vec2_xlsr_300m_bn_6gram_arpa", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 76...
{"_name_or_path": "microsoft/deberta-v2-xlarge", "architectures": ["DebertaV2ForTokenClassification"], "attention_head_size": 64, "attention_probs_dropout_prob": 0.1, "conv_act": "gelu", "conv_kernel_size": 3, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1536, "initializer_range": 0.02, "intermediat...