text stringlengths 21 3.17k |
|---|
{"_name_or_path": "/home/patrick/hugging_face/t5/t5-v1_1-large", "architectures": ["omFlaxT5ForConditionalGeneration"], "bos_token_id": 16384, "d_ff": 2816, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 16384, "dropout_rate": 0.1, "eos_token_id": 16385, "feed_forward_proj": "gated-gelu", "force_bos_token_to_be... |
{"_name_or_path": "facebook/wav2vec2-base", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, 512, 512, ... |
{"_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"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0, "LABE... |
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "conv_bias": true, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, 3, 3, 3, 2, 2], "conv_stride": [5, 2, 2... |
{"_name_or_path": "/home/patrick/hugging_face/t5/mt5-large", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2816, "d_kv": 64, "d_model": 1024, "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_n... |
{"_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", "4": "LABEL_4", "5": "LABEL_5"}, "initialize... |
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.055, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512... |
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "conv_bias": true, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, 3, 3, 3, 2, 2], "conv_stride": [5, 2, 2... |
{"_name_or_path": "lighteternal/wav2vec2-large-xlsr-53-greek", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForSpeechClassification"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias":... |
{"_name_or_path": "roberta-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_eps": ... |
{"_name_or_path": "vumichien/wav2vec2-large-xlsr-japanese-hiragana", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["HubertForSequenceClassification"], "attention_dropout": 0.15, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv... |
{"_name_or_path": "google/mt5-small", "architectures": ["MT5ForConditionalGeneration"], "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", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "m... |
{"_name_or_path": "t5-small", "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", "gradient_checkpointing": false, "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_e... |
{"_name_or_path": "AutoNLP", "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": 0.0, "d_model": 1024, "decoder_att... |
{"_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": "bunny", "1": "moon", "2": "sun", "3": "tiger"}, "image_size": 224, "initializer_range": 0.0... |
{"_name_or_path": "distilbert-base-uncased-distilled-squad", "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_layer... |
{"activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartModel"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.1, "classifier_dropout": 0.1, "d_model": 768, "decoder_attention_heads": 16, "decoder_ffn_dim": 3072, "dec... |
{"activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartModel"], "attention_dropout": 0.0, "bos_token_id": 1, "classif_dropout": 0.1, "classifier_dropout": 0.1, "d_model": 768, "decoder_attention_heads": 16, "decoder_ffn_dim": 3072, "dec... |
{"_name_or_path": "saved_models_v2_limited/four-way/bert-large-uncased_explicit/922116/checkpoint-2500", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "com... |
{"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_dropout": 0.1, "classifier_dropout": 0.1, "d_model": 768, "decoder_attention_heads": 16, "decoder_f... |
{"_name_or_path": "skt/kobert-base-v1", "architectures": ["BertForNextSentencePrediction"], "attention_probs_dropout_prob": 0.1, "author": "Heewon Jeon(madjakarta@gmail.com)", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_... |
{"_name_or_path": "google/byt5-small", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3584, "d_kv": 64, "d_model": 1472, "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": tru... |
{"_name_or_path": "skt/kogpt2-base-v2", "_num_labels": 1, "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "author": "Heewon Jeon(madjakarta@gmail.com)", "bos_token_id": 0, "created_date": "2021-04-28", "embd_pdrop": 0.1, "eos_token_id": 1, "gradient_checkpointing": false, "id... |
{"_name_or_path": "google/mt5-small", "architectures": ["MT5ForConditionalGeneration"], "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", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "m... |
{"_name_or_path": "Barleysack/AERoberta", "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": 1024, "initializer_range": 0.02, "intermediate_size": 4... |
{"architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "NOUN", "2": "ADJ", "3": "PRON", "4": "_", "5": "ADV", "6": "ADP", "7": "PUNCT", "8": "AUX", "9": "X",... |
{"_name_or_path": "distilgpt2", "_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,... |
{"_name_or_path": "distilbert-base-uncased", "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_toke... |
{"_name_or_path": "QAWithLSTMModel", "architectures": ["QAWithLSTMModel"], "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": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_... |
{"_name_or_path": "deepset/xlm-roberta-base-squad2", "architectures": ["XLMRobertaForQuestionAnswering"], "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, "intermed... |
{"architectures": ["BertForMaskedLM"], "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_position_embeddings": 512, "model_type": "bert", "num_att... |
{"_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"... |
{"architectures": ["BertModel"], "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_position_embeddings": 512, "model_type": "bert", "num_attention... |
{"_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, ... |
{"_name_or_path": "huggingface", "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": 1024, "decod... |
{"_name_or_path": "distilbert-base-uncased", "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_toke... |
{"_name_or_path": "google/pegasus-large", "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": 102... |
{"architectures": ["MarkupLMForPretraining"], "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, "intermediate_size": 3072, "layer_norm_ep... |
{"_name_or_path": "mwesner/bart-mlm", "activation_dropout": 0.0, "activation_function": "gelu_new", "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classifier_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0... |
{"_name_or_path": "roberta-base", "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_size": 3072, "layer_no... |
{"_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": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForMaskedLM"], "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,... |
{"_name_or_path": "klue/roberta-large", "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": 1024, "initializer_range": 0.02, "inte... |
{"_name_or_path": "albertvillanova/autonlp-baselines-wikiann-entity_extraction-1341171", "_num_labels": 7, "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, "gap_size"... |
{"_name_or_path": "camembert-base", "architectures": ["CamembertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 5, "classifier_dropout": null, "eos_token_id": 6, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_ep... |
{"architectures": ["ReformerModelWithLMHead"], "attention_head_size": 64, "attn_layers": ["local", "lsh", "local", "lsh", "local", "lsh"], "axial_norm_std": 1.0, "axial_pos_embds": true, "axial_pos_embds_dim": [64, 192], "axial_pos_shape": [64, 64], "chunk_size_lm_head": 0, "eos_token_id": 2, "feed_forward_size": 512, ... |
{"activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartModel"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout": 0.1, "classifier_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "de... |
{"activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 8, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 1920, "n_head": 16, "n_inner": 768... |
{"_name_or_path": "klue/roberta-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, "initializer_range": 0.02, "interm... |
{"_name_or_path": "klue/bert-base", "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-12,... |
{"_name_or_path": "monologg/koelectra-base-v3-discriminator", "architectures": ["ElectraForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "laye... |
{"architectures": ["EncoderDecoderModel"], "bos_token_id": 2, "decoder": {"add_cross_attention": true, "architectures": ["BertGenerationEncoder"], "attention_probs_dropout_prob": 0.1, "bad_words_ids": null, "bos_token_id": null, "chunk_size_feed_forward": 0, "decoder_start_token_id": null, "directionality": "bidi", "do... |
{"_name_or_path": "neuropark/sahajBERT", "architectures": ["AlbertForPreTraining"], "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": 10... |
{"architectures": ["BertForSeqGenerationEncoderModel"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "gradient_checkpointing": false, "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_embe... |
{"_name_or_path": "./checkpoint-13500", "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": 1024, "contrastive_logits_t... |
{"attention_probs_dropout_prob": 0.1, "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_heads": 2, "num_hidden_layers": 10, "pad_token_id": 0, "type_voca... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 4, "num_hidden_layers": 10, "pad_token_id": 0, "type_voc... |
{"_name_or_path": "output-small", "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, "n_... |
{"_name_or_path": "/data/novels/finetune/models/", "activation_function": "gelu_new", "architectures": ["TFGPT2LMHeadModel"], "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",... |
{"_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": "model_raw/t5-base/model.ckpt-1004000", "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_epsilo... |
{"activation_function": "gelu", "architectures": ["TFGPT2LMHeadModel"], "attn_pdrop": 0.0, "bos_token_id": 50256, "embd_pdrop": 0.0, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 2560, "n_head": 32, "n_inner... |
{"attention_probs_dropout_prob": 0.1, "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_attention_heads": 8, "num_hidden_layers": 10, "pad_token_id": 0, "type_voc... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 10, "pad_token_id": 0, "type_vo... |
{"_name_or_path": "model_raw/t5-large/model.ckpt-1004700", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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_epsi... |
{"_name_or_path": "/data2/CPM-distill/CPM-Generate-distill", "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":... |
{"_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... |
{"attention_probs_dropout_prob": 0.1, "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_heads": 2, "num_hidden_layers": 12, "pad_token_id": 0, "type_voca... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 4, "num_hidden_layers": 12, "pad_token_id": 0, "type_voc... |
{"_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": "/data/novels/models/", "activation_function": "gelu_new", "architectures": ["TFGPT2LMHeadModel"], "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":... |
{"_name_or_path": "/data/wiki_zh/models/", "activation_function": "gelu_new", "architectures": ["TFGPT2LMHeadModel"], "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"... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "type_vo... |
{"_name_or_path": "/data/wiki_zh/models/", "activation_function": "gelu_new", "architectures": ["TFGPT2LMHeadModel"], "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"... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 4, "num_hidden_layers": 2, "pad_token_id": 0, "type_voca... |
{"_name_or_path": "/data/novels/finetune/models/", "activation_function": "gelu_new", "architectures": ["TFGPT2LMHeadModel"], "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",... |
{"attention_probs_dropout_prob": 0.1, "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_attention_heads": 8, "num_hidden_layers": 12, "pad_token_id": 0, "type_voc... |
{"_num_labels": 2, "architectures": null, "attention_probs_dropout_prob": 0.1, "bad_words_ids": null, "bos_token_id": null, "decoder_start_token_id": null, "do_sample": false, "early_stopping": false, "embedding_size": 128, "eos_token_id": null, "finetuning_task": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1,... |
{"attention_probs_dropout_prob": 0.1, "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_heads": 2, "num_hidden_layers": 2, "pad_token_id": 0, "type_vocab... |
{"attention_probs_dropout_prob": 0.1, "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_attention_heads": 8, "num_hidden_layers": 2, "pad_token_id": 0, "type_voca... |
{"_name_or_path": "output-medium", "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, "n... |
{"_name_or_path": "./bert-base-turkish-cased-nli-mean-faq-mnr", "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, "l... |
{"_name_or_path": "./bert-base-turkish-cased-nli-mean-v1", "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_... |
{"attention_probs_dropout_prob": 0.1, "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_heads": 2, "num_hidden_layers": 4, "pad_token_id": 0, "type_vocab... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 2, "pad_token_id": 0, "type_voc... |
{"_name_or_path": "output-small", "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, "n_... |
{"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": 768, "n_head": 12, "n_layer": 12, "n_positions": 1024, "n_v... |
{"_name_or_path": "dbmdz/distilbert-base-turkish-cased", "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, "output_past... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 4, "num_hidden_layers": 4, "pad_token_id": 0, "type_voca... |
{"attention_probs_dropout_prob": 0.1, "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_attention_heads": 8, "num_hidden_layers": 4, "pad_token_id": 0, "type_voca... |
{"_name_or_path": "output-small", "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, "n_... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 4, "pad_token_id": 0, "type_voc... |
{"_name_or_path": "./mt5-small-turkish-question-paraphrasing", "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, "i... |
{"attention_probs_dropout_prob": 0.1, "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_heads": 2, "num_hidden_layers": 6, "pad_token_id": 0, "type_vocab... |
{"_name_or_path": "camembert-base", "architectures": ["CamembertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 5, "eos_token_id": 6, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_no... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 4, "num_hidden_layers": 6, "pad_token_id": 0, "type_voca... |
{"attention_probs_dropout_prob": 0.1, "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_attention_heads": 8, "num_hidden_layers": 6, "pad_token_id": 0, "type_voca... |
{"_name_or_path": "roberta-base", "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, "intermediate_size": 3072, "lay... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 6, "pad_token_id": 0, "type_voc... |
{"_name_or_path": "Geotrend/distilbert-base-nl-cased", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "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", "4": "LABEL_4", "5": "LABEL_5", "6": ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.