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{"_name_or_path": "./saved/", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.0, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 1024, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "intermediate_size": 4096, "label2id": {"LABE... |
{"_name_or_path": "bert-base-multilingual-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "la... |
{"_name_or_path": "google/mt5-small", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "is... |
{"_name_or_path": "google/multiberts-seed_8", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "mnli", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}... |
{"_name_or_path": "yarongef/DistilProtBert", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.0, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_eps": 1e-12, "max_pos... |
{"_name_or_path": "100_berts/bert_44", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "100_berts/bert_43", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "benjamin/gerpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50258, "embd_pdrop": 0.1, "eos_token_id": 50257, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, ... |
{"_name_or_path": "100_berts/bert_47", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "tbrasil/classificador_de_atendimento_3_classes_v1.1", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", ... |
{"_name_or_path": "100_berts/bert_49", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "100_berts/bert_50", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "muhtasham/tiny-mlm-glue-rte", "architectures": ["BertForSequenceClassification"], "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_p... |
{"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "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": "google/multiberts-seed_9", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "mnli", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}... |
{"_name_or_path": "100_berts/bert_52", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "saattrupdan/verdict-classifier", "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": {"0": "factual", "1": "mi... |
{"_name_or_path": "100_berts/bert_53", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "google/t5-efficient-tiny-nl32", "architectures": ["T5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 256, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "... |
{"_name_or_path": "deepset/deberta-v3-large-squad2", "architectures": ["DebertaV2ForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "language": "english", "layer_norm_eps": 1e-07, "max_... |
{"_name_or_path": "100_berts/bert_51", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "benjamin/gpt2-wechsel-german", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50258, "embd_pdrop": 0.1, "eos_token_id": 50257, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n... |
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "yes", "1": "no"}, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_positi... |
{"_name_or_path": "100_berts/bert_54", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_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": "100_berts/bert_55", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "allenai/longformer-base-4096", "architectures": ["LongformerForMaskedLM"], "attention_mode": "longformer", "attention_probs_dropout_prob": 0.1, "attention_window": [256, 256, 256, 256, 256, 256, 256, 256, 256, 256, 256, 256], "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hid... |
{"_name_or_path": "tinkoff-ai/ruDialoGPT-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_... |
{"_name_or_path": "JustAHomosapien/wav2vec2-base-nptel-demo-colab", "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"... |
{"_name_or_path": "./recent_twitter_model", "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": "100_berts/bert_56", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_name_or_path": "muhtasham/tiny-mlm-glue-rte", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}, "initializer_range": 0... |
{"_name_or_path": "100_berts/bert_57", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
{"_class_name": "UNet2DModel", "_diffusers_version": "0.9.0", "act_fn": "silu", "attention_head_dim": 8, "block_out_channels": [128, 128, 256, 256, 512, 512], "center_input_sample": false, "down_block_types": ["DownBlock2D", "DownBlock2D", "DownBlock2D", "DownBlock2D", "AttnDownBlock2D", "DownBlock2D"], "downsample_pad... |
{"_name_or_path": "ml6team/gpt2-medium-german-finetune-oscar", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50258, "embd_pdrop": 0.1, "eos_token_id": 50257, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type... |
{"_name_or_path": "100_berts/bert_58", "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", "1": "LABEL_1", "2": "LABEL_2"},... |
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