text
stringlengths
21
3.17k
{"_name_or_path": "Maltehb/-l-ctra-danish-electra-small-uncased", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 128, "generator_size": "0.25", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_ra...
{"_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": "mrpc", "hidden_act": "relu", "hidden_dropout_prob": 0.0, "hidden_size": 512...
{"_name_or_path": "gpt2-arxiv/checkpoint-1250000", "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_h...
{"_name_or_path": "Luyu/bert-base-mdoc-bm25", "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": "LABEL_0"}, "initializer_range": 0.0...
{"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": "emillykkejensen/daT5-large", "architectures": ["MT5ForConditionalGeneration"], "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_norm_epsilon"...
{"_name_or_path": "models/conv_summa_models/bart-base-tweetsummgen-xsum-conv-bsppl-filtered-ppl-sorted-top50-cl-2nd-seed42", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bo...
{"_name_or_path": "FritzOS/TEdetection_distiBERT_mLM_final", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 150, "model_type": "distilbert", "n_heads": 12, "n_lay...
{"_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/tweet_models/qd_tweet_bert_model", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "RQ", "1": "OQ", "2...
{"_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...
{"architecture": "vit_large_patch14_clip_336", "num_classes": 1000, "num_features": 1024, "global_pool": "token", "pretrained_cfg": {"tag": "laion2b_ft_in1k", "custom_load": false, "input_size": [3, 336, 336], "fixed_input_size": true, "interpolation": "bicubic", "crop_pct": 1.0, "crop_mode": "squash", "mean": [0.5, 0....
{"_name_or_path": "finetune-t5-tiny-standard-bahasa-cased-v2/checkpoint-1540000", "architectures": ["T5Diaparser"], "d_ff": 1344, "d_kv": 64, "d_model": 384, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "gradient_checkpointing": false, "id2lab...
{"_name_or_path": "daigo/bert-base-japanese-sentiment", "_num_labels": 2, "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "original", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "\u30...
{"_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k", "architectures": ["SwinForImageClassification"], "attention_probs_dropout_prob": 0.0, "depths": [2, 2, 18, 2], "drop_path_rate": 0.1, "embed_dim": 128, "encoder_stride": 32, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 1024, "id2label...
{"_name_or_path": "openai/whisper-tiny", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50257], "bos_token_id": 50257, "d_model": 384, "decoder_attention_heads": 6, "decoder_ffn_dim": 1536, "decoder...
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "1 star", "1": "2 star", "2": "3 star", "3": "4 star", "4": "5 star"}, "initializer_range": 0.02, "labe...
{"_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": "cola", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "unacceptable...
{"_name_or_path": "LongT5-TGlobal-XL", "architectures": ["LongT5ForConditionalGeneration"], "d_ff": 5120, "d_kv": 64, "d_model": 2048, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "encoder_attention_type": "transient-global", "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "global...
{"_name_or_path": "morenolq/bart-base-xsum", "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": 76...
{"default_settings": null, "behaviors": {"AGVAgent": {"trainer_type": "poca", "hyperparameters": {"batch_size": 1024, "buffer_size": 10240, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "consta...
{"_name_or_path": "../pretrained_models/t5-large-lm-adapt", "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_no...
{"_name_or_path": "facebook/bart-large", "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, ...
{"_name_or_path": "theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback", "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, "classifi...
{"_name_or_path": "bert-base-cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-attackID"...
{"_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": "rte", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", ...
{"_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": "facebook/bart-large-cnn", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0, "d_model": 1024, "dec...
{"_name_or_path": "dmis-lab/biobert-base-cased-v1.2", "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, "layer_norm_eps": 1e-12, "max_...
{"_name_or_path": "/content/drive/MyDrive/t5-arxiv-e6/checkpoint-3248-epoch-1", "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_decod...
{"_name_or_path": "ptaszynski/yacis-electra-small-japanese", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "generator_size": "0.25", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": ...
{"_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": "FFS", "1": "cystic", "2": "solid"}, "image_size": 224, "initializer_r...
{"_name_or_path": "google/electra-base-discriminator", "architectures": ["ElectraForSequenceClassification"], "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...
{"activation_function": "gelu_new", "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 2, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null, "n_layer": 12, "n_positions": 1024, ...
{"_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": "stsb", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0"}, "...
{"_name_or_path": "loodos/bert-base-turkish-uncased", "architectures": ["BertForQuestionAnswering"], "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": 307...
{"_name_or_path": "models/t5/checkpoint-7500", "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": t...
{"_name_or_path": "mrm8488/electricidad-base-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "...
{"_name_or_path": "izumi-lab/electra-small-japanese-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_e...
{"_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/tweet_models/qd_tweet_distilbert_model", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "RQ", "1": "OQ", "2": "FK", "3": "NQ"}, "initi...
{"_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, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 51...
{"_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, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 51...
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.0, "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": "/content/drive/MyDrive/raw/qd_best_models/tweet_models/qd_tweet_convbert_model", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "head_ratio": 2...
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertForSequenceClassification"], "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_siz...
{"_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/quora_models/qd_quora_bert_model", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "NQ", "1": "Q"}, "i...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "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": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "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": "hiroshi-matsuda-rit/bert-base-japanese-basic-char-v2", "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, ...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"_name_or_path": "emre/wav2vec2-xls-r-300m-Tr-med-CommonVoice8", "activation_dropout": 0.0, "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...
{"_name_or_path": "megagonlabs/transformers-ud-japanese-electra-base-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 30...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "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": "/root/.cache/torch/sentence_transformers/sentence-transformers_all-MiniLM-L6-v2/", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range...
{"_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/quora_models/qd_quora_distilbert_model", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "NQ", "1": "Q"}, "initializer_range": 0.02, "l...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "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": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "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": "/content/drive/MyDrive/raw/qd_best_models/quora_models/qd_quora_convbert_model", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "head_ratio": 2...
{"_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...
{"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0005, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "ne...
{"_name_or_path": "models/conv_summa_models/bart-base-samsumgen-xsum-conv-bsppl-filtered-ppl-sorted-top50-cl-2nd-seed42", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_t...
{"_name_or_path": "pvbhanuteja/layoutlm-funsd", "architectures": ["LayoutLMForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-HEADER", "2": "I-HEADER", "3": "B-QUESTION", "4": "I-...
{"_name_or_path": "facebook/wav2vec2-xlsr-53-espeak-cv-ft", "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, "c...
{"_name_or_path": "Babelscape/rebel-large", "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": 102...
{"_name_or_path": "/content/base", "_remove_final_layer_norm": false, "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["OPTForCausalLM"], "attention_dropout": 0.1, "bos_token_id": 0, "do_layer_norm_before": true, "dropout": 0.1, "enable_bias": true, "eos_token_id": 2, "ffn_dim": 8192, "hidden...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"_name_or_path": "models/conv_summa_models/bart-base-dialogsumgen-xsum-conv-bsppl-filtered-ppl-sorted-top50-cl-2nd-seed42", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bo...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"_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": "/content/drive/MyDrive/raw/qd_best_models/quora_models/qd_quora_electra_model", "_num_labels": 2, "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_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": "mnli", "hidden_act": "relu", "hidden_dropout_prob": 0.0, "hidden_size": 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", "3": "LABEL_3", "4": "LABEL_4"}, "initializer_range": 0.02, ...
{"_name_or_path": "hfl/chinese-bert-wwm", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm...
{"_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/tweet_models/qd_tweet_electra_model", "_num_labels": 2, "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_si...
{"_name_or_path": "bert-base-multilingual-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "finetuning_task": "allnli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entail...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"architectures": ["ResnetModelForImageClassification"], "avg_down": true, "base_width": 64, "block_type": "bottleneck", "cardinality": 1, "input_channels": 3, "layers": [3, 4, 6, 3], "model_type": "resnet", "num_classes": 1000, "stem_type": "deep", "stem_width": 32, "torch_dtype": "float32", "transformers_version": "4...
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.0, "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, 512...
{"_name_or_path": "bert-base-multilingual-cased_multinli_tr", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "finetuning_task": "multinli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label":...
{"_name_or_path": "MCG-NJU/videomae-base-finetuned-kinetics", "architectures": ["VideoMAEForVideoClassification"], "attention_probs_dropout_prob": 0.0, "decoder_hidden_size": 384, "decoder_intermediate_size": 1536, "decoder_num_attention_heads": 6, "decoder_num_hidden_layers": 4, "hidden_act": "gelu", "hidden_dropout_p...
{"_name_or_path": "microsoft/MiniLM-L12-H384-uncased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range": 0.02, "intermediate_size": 1536, "layer_norm_eps": 1e-12,...
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "finetuning_task": "image-classification", "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "angular_leaf_spot", "1": "...
{"_name_or_path": "bert-base-multilingual-cased_snli_tr", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "finetuning_task": "snli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "...
{"_name_or_path": "dbmdz/bert-base-turkish-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "allnli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "neutral", "2...
{"_name_or_path": "AutoTrain", "architectures": ["SwinForImageClassification"], "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, "id2label": {"0": "ADONIS", "1": "AFRICAN GIANT...
{"_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": "models/CodeT5/pretrain/model", "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"},...
{"_name_or_path": "dbmdz_bert-base-turkish-cased_multinli_tr", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "multinli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1":...
{"_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": "qnli", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment",...
{"_name_or_path": "google/mt5-base", "architectures": ["MT5ForConditionalGeneration"], "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, "is_...
{"_name_or_path": "KB/bert-base-swedish-cased-ner", "_num_labels": 14, "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "OBJ", "2": "TME", "3": "ORG/PRS", "4...
{"_name_or_path": "/private/home/dpf/models/incoder-6B-hf/", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["XGLMForCausalLM"], "attention_dropout": 0.1, "attention_heads": 32, "bos_token_id": 0, "d_model": 4096, "decoder_start_token_id": 2, "dropout": 0.0, "eos_token_id": 2, "ffn_dim": 163...
{"_name_or_path": "dbmdz/convbert-base-turkish-mc4-cased", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "finetuning_task": "allnli_tr", "head_ratio": 2, "hidden...
{"_name_or_path": "xlm-roberta-base", "architectures": ["XLMRobertaModel"], "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": "dmis-lab/biobert-v1.1", "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, "initializer_range": 0.02, "intermediate_size": 3072, "la...
{"_name_or_path": "sberbank-ai/rugpt3medium_based_on_gpt2", "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_epsilo...
{"_name_or_path": "dbmdz_bert-base-turkish-cased_snli_tr", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "snli_tr", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "entailment", "1": "neutra...
{"_name_or_path": "dbmdz_convbert-base-turkish-mc4-cased_multinli_tr", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "finetuning_task": "multinli_tr", "head_rati...
{"_name_or_path": "dbmdz_convbert-base-turkish-mc4-cased_snli_tr", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "finetuning_task": "snli_tr", "head_ratio": 2, "...
{"_name_or_path": "result/sup_bert/sup-simcse-tr-bert-base", "architectures": ["BertModel"], "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, "max_position...