text stringlengths 21 3.17k |
|---|
{"_name_or_path": "../../models/separations_for_collab", "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... |
{"_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": "sst2", "hidden_dim": 3072, "id2label": {"0": 0, "1": 1}, "initializer_range": 0.02, "label2id": {... |
{"_name_or_path": "./out/models-huggingface/psst-common-voice", "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": 256... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "Aadhaar Related", "1": "Accrued Bonus Additions Value Related", "2": "Address/Contact/Email ID Related... |
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertModel"], "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, "gap_size": 0, "hidden_act": "gelu_new", "hidden_dropout_prob": 0, "hidden_size": 768, "initialize... |
{"_name_or_path": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "architectures": ["XLMRobertaModel"], "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": ... |
{"default_settings": null, "behaviors": {"Huggy": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "ne... |
{"_name_or_path": "EleutherAI/gpt-neo-1.3B", "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", "gl... |
{"_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": "facebook/wav2vec2-large-lv60", "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": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive... |
{"_name_or_path": "FINDA-FIT/mT5_LARGE_TRUE_KoABSA_SentFiN_FULL", "architectures": ["MT5ForConditionalGeneration"], "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, "i... |
{"_name_or_path": "sshleifer/tiny-mbart", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["MBartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0... |
{"_name_or_path": "facebook/convnext-tiny-224", "architectures": ["ConvNextForImageClassification"], "depths": [3, 3, 9, 3], "drop_path_rate": 0.0, "hidden_act": "gelu", "hidden_sizes": [96, 192, 384, 768], "id2label": {"0": "AnnualCrop", "1": "Forest", "2": "HerbaceousVegetation", "3": "Highway", "4": "Industrial", "5... |
{"_name_or_path": "dmis-lab/biobert-large-cased-v1.1-squad", "architectures": ["BertForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_si... |
{"_name_or_path": "google/mobilebert-uncased", "architectures": ["MobileBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_activation": false, "classifier_dropout": null, "embedding_size": 128, "finetuning_task": "cola", "hidden_act": "relu", "hidden_dropout_prob": 0.0, "hidden_size": 512... |
{"_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": "damaged road", "1": "good road"}, "image_size": 224, "initializer_range": 0.02, "intermedia... |
{"_name_or_path": "openai/whisper-small.en", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50256], "bos_token_id": 50257, "d_model": 768, "decoder_attention_heads": 12, "decoder_ffn_dim": 3072, "de... |
{"_name_or_path": "roberta-large", "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": 1024, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL... |
{"_name_or_path": ".", "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, "line_by_line": false, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head":... |
{"_name_or_path": "benjamin/gerpt2-large", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "l... |
{"architectures": ["GPTNeoXForCausalLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 0, "hidden_act": "gelu_fast", "hidden_dropout_prob": 0.1, "hidden_size": 6144, "initializer_range": 0.02, "intermediate_size": 24576, "layer_norm_eps": 1e-05, "max_position_embeddings": 2048, "model_type": ... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropo... |
{"_class_name": "UNet2DModel", "_diffusers_version": "0.10.2", "act_fn": "silu", "attention_head_dim": 8, "block_out_channels": [64, 128, 128, 256, 512], "center_input_sample": false, "down_block_types": ["DownBlock2D", "DownBlock2D", "AttnDownBlock2D", "AttnDownBlock2D", "AttnDownBlock2D"], "downsample_padding": 1, "f... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropo... |
{"_name_or_path": "bert-large-uncased-whole-word-masking-finetuned-squad", "architectures": ["BertForQuestionAnswering"], "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_n... |
{"_name_or_path": "sentence-transformers/distiluse-base-multilingual-cased-v1", "activation": "gelu", "architectures": ["DistilBertModel"], "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_l... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "cola", "hidden_dim": 3072, "id2label": {"0": "unacceptable", "1": "acceptable"}, "initializer_range": 0.02, "label2id": {... |
{"_name_or_path": "openai/whisper-large-v2", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50257], "bos_token_id": 50257, "d_model": 1280, "decoder_attention_heads": 20, "decoder_ffn_dim": 5120, "d... |
{"_name_or_path": "microsoft/mpnet-base", "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": 3072, "layer_norm_eps": 1e-05, "max_position_embeddi... |
{"_name_or_path": "/fara/modelstates/finetuned_models/emerg-intent-gpt2-v2", "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":... |
{"architectures": ["Data2VecForMaskedLM"], "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": 1e-05, "max_position_embeddings"... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "mnli", "hidden_dim": 3072, "id2label": {"0": "entailment", "1": "neutral", "2": "contradiction"}, "initializer_range": 0.... |
{"_name_or_path": "FINDA-FIT/mT5_LARGE_FALSE_KoABSA_SentFiN_FULL", "architectures": ["MT5ForConditionalGeneration"], "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, "... |
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "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": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive... |
{"_name_or_path": "/fara/modelstates/finetuned_models/emerg-intent-gpt2-v3", "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":... |
{"_name_or_path": "allenai/scibert_scivocab_uncased", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size":... |
{"_name_or_path": "T-Systems-onsite/cross-en-de-roberta-sentence-transformer", "architectures": ["XLMRobertaForMaskedLM"], "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_siz... |
{"_name_or_path": "/opt/ml/input/final-project-level3-nlp-13/saved_models/gogamza/kobart-base-v2/chatbot_social_media_10epoch_01-20-00-18", "activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dro... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropo... |
{"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 5, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear... |
{"_name_or_path": "/content/drive/MyDrive/thesis/saved_checkpoints/mt5+6epoch", "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_decod... |
{"_name_or_path": "/dstore/home/nandy/recipe-pretrain-roberta/Boddhisatwa_Paper/recipes_aspect_based_retrieval/HF_models_roberta/recipe_triplet_recipes-roberta-base_epochs_1", "architectures": ["RobertaModel"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidde... |
{"_name_or_path": "mrm8488/RuPERTa-base", "_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, "id2label": {"0": "Negativo... |
{"_name_or_path": "bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, ... |
{"_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": "Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "answer", "1": "question"}, "initializer_range": 0.02, "label2id": {"answer": 0, ... |
{"_name_or_path": "bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, ... |
{"_name_or_path": "/fastdata/acp20eg/results/pt_new/fine-grained/xlm-roberta-base-zero-shot-3/checkpoint-1323", "architectures": ["XLMRobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob... |
{"_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": "albert-base-v2", "architectures": ["AlbertForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 3, "gap_size": 0, "hidden_act": "gelu_new", "hidden_dropout_prob": 0.1, "hidden_size... |
{"_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-FOOD", "2": "I-FOOD"}, "initializer... |
{"_name_or_path": "allenai/scibert_scivocab_uncased", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size":... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertModel"], "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_id": 0, "qa_d... |
{"_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": "allenai/scibert_scivocab_uncased", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size":... |
{"MCQ_K": 256, "MCQ_M": 96, "_name_or_path": "facebook/contriever-msmarco", "architectures": ["JPQTowerBert"], "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_... |
{"_name_or_path": "HooshvareLab/bert-fa-zwnj-base", "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-DAT", "2": "I-DAT", ... |
{"_name_or_path": "xhyi/PT_GPTNEO350_ATG", "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", "glob... |
{"_name_or_path": "knkarthick/MEETING-SUMMARY-BART-LARGE-XSUM-SAMSUM-DIALOGSUM", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_d... |
{"_name_or_path": "results/xlnet-base-cased-FalseTrue0-1", "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... |
{"_name_or_path": "moyix/codegen-350M-mono-gptj", "activation_function": "gelu_new", "architectures": ["GPTJForCausalLM"], "attn_pdrop": 0.0, "bos_token_id": 1, "embd_pdrop": 0.0, "eos_token_id": 2, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gptj", "n_embd": 1024, "n_head": 16, "n_inner": nu... |
{"_name_or_path": "/home/semindan/baka/src/xnli_xlm_r_only_tr/checkpoint-6136", "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": 768, "id2label... |
{"_name_or_path": "allenai/scibert_scivocab_uncased", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size":... |
{"_name_or_path": "model/lukeskywalker", "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,... |
{"_name_or_path": "aubmindlab/bert-base-arabertv2", "architectures": ["BertForSequenceClassification"], "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, "layer_norm_eps": 1e-12, "m... |
{"_name_or_path": "bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, ... |
{"_name_or_path": "model/threepio", "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_i... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropo... |
{"_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": "allenai/scibert_scivocab_uncased", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size":... |
{"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 256, "buffer_size": 4096, "learning_rate": 0.00031, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 5, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "n... |
{"_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": "distilbert-base-uncased", "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... |
{"_name_or_path": "Helsinki-NLP/opus-mt-ar-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": [[62833]], "bos_token_id": 0, "classif_dropout": 0.0, "clas... |
{"_name_or_path": "model/vader", "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": "/content/gdrive/MyDrive/Lectures/content/updated_model", "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"}, "initializer_range": 0.02, "... |
{"architectures": ["T5ForConditionalGeneration"], "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", "gradient_checkpointing": false, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_... |
{"_name_or_path": "facebook/opt-350m", "_remove_final_layer_norm": false, "activation_dropout": 0.0, "activation_function": "relu", "architectures": ["OPTForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 2, "do_layer_norm_before": false, "dropout": 0.1, "eos_token_id": 2, "ffn_dim": 4096, "hidden_size": 1024, "i... |
{"_name_or_path": "uripper/ChatbotTrainingBot", "_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_... |
{"_name_or_path": "/content/output/checkpoint-8000/", "architectures": ["T5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "gradient_checkpointing": false, "initializer_factor": 1.0, "is_encoder... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "adapters": {"adapters": {}, "config_map": {}, "fusion_config_map": {}, "fusions": {}}, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropo... |
{"_name_or_path": "model/leia", "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_inner... |
{"architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": ["C", "R", "N"], "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2}, "l... |
{"_name_or_path": "model/yoda", "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_inner... |
{"_name_or_path": "AutoTrain", "architectures": ["T5ForConditionalGeneration"], "bos_token_id": 1, "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "eos_token_id": 2, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "... |
{"_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... |
{"architectures": ["T5WithLMHeadModel"], "d_ff": 3072, "d_kv": 64, "d_model": 768, "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": 12, "num_heads": 12, "... |
{"_name_or_path": "ntoldalagi/nick_asr_v2", "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": 256, "contrastive_logi... |
{"_name_or_path": "/lustre07/scratch/gagan30/arocr/results/swinv2_arocr_tiny_encoder", "architectures": ["Swinv2Model"], "attention_probs_dropout_prob": 0.0, "depths": [2, 2, 6, 2], "drop_path_rate": 0.1, "embed_dim": 96, "encoder_stride": 32, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "image... |
{"_name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-english", "activation_dropout": 0.05, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForSequenceClassification"], "attention_dropout": 0.1, "bos_token_id": 1, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [51... |
{"_name_or_path": "HooshvareLab/distilbert-fa-zwnj-base", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "O", "1": "B-DAT", "2": "I-DAT", "3": "B-EVE", "4": "I-EVE", "5": "B-FAC", "6": "I-FAC", "7":... |
{"architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 512, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention... |
{"_name_or_path": "/content/drive/MyDrive/Colab Notebooks/BERT/model", "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, "interme... |
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "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, "contrast... |
{"_name_or_path": "openai/whisper-small.en", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50256], "bos_token_id": 50257, "d_model": 768, "decoder_attention_heads": 12, "decoder_ffn_dim": 3072, "de... |
{"_name_or_path": "ehdwns1516/gpt2_review_star1", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n... |
{"_name_or_path": "gpt2_review_star2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024... |
{"_name_or_path": "/home/zoez/chemT5", "architectures": ["T5ForConditionalGeneration"], "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_decoder": true, "layer_norm_epsilon": 1e-06, "m... |
{"_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": "hyatt drinks", "1": "hyatt fitness", "2": "hyatt food", "3": "hyatt g... |
{"architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 512, "initializer_range": 0.02, "intermediate_size": 2048, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attentio... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.