text stringlengths 21 3.17k |
|---|
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null... |
{"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_hidden_states": true, "output_past": true, "pad_token_id": 0... |
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null... |
{"_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... |
{"architectures": ["BertForMaskedLM"], "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_embeddings": 512, "model_type": "bert", "num_attentio... |
{"architectures": ["ElectraForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "embedding_size": 1024, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "electra", "... |
{"architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidden_size": 4096, "initializer_range": 0.02, "inner_... |
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null... |
{"architectures": ["MiniMaxM2ForCausalLM"], "attn_type_list": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "auto_map": {"AutoConfig": "configuration_minimax_m2.MiniMaxM2Config",... |
{"_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... |
{"activation_dropout": 0.1, "activation_function": "gelu", "architectures": ["MBartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 64000, "d_model": 1024, "classifier_dropout": 0.0, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 6, "dropout": 0.... |
{"_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, "gradient_checkpointing": false, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0":... |
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertForQuestionAnswering"], "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": 7... |
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "mrpc", "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", ... |
{"_name_or_path": "facebook/wav2vec2-xls-r-1b", "activation_dropout": 0.1, "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_... |
{"attn_dropout_p": 0.0, "d_model": 832, "ff_dim": 2048, "ffn_dropout_p": 0.2, "learn_te": true, "n_heads": 16, "n_layers": 12, "resid_dropout_p": 0.2, "s1_bits": 10, "s2_bits": 10, "token_dropout_p": 0.0} |
{"_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": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.1, "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": "facebook/wav2vec2-large-xlsr-53", "activation_dropout": 0.1, "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, "contrast... |
{"architectures": ["Gemma4ForConditionalGeneration"], "audio_config": null, "audio_token_id": 258881, "boa_token_id": 256000, "boi_token_id": 255999, "dtype": "bfloat16", "eoa_token_id": 258883, "eoa_token_index": 258883, "eoi_token_id": 258882, "eos_token_id": [1, 106, 50], "image_token_id": 258880, "initializer_range... |
{"_name_or_path": "DrishtiSharma/wav2vec2-large-xls-r-300m-hi-d3", "activation_dropout": 0.1, "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": ... |
{"_name_or_path": "HarrisDePerceptron/xls-r-300m-ur", "activation_dropout": 0.1, "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, "contras... |
{"_name_or_path": "microsoft/DialoGPT-small", "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":... |
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null... |
{"architectures": ["MiniMaxM2ForCausalLM"], "attn_type_list": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "auto_map": {"AutoConfig": "configuration_minimax_m2.MiniMaxM2Config",... |
{"activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartModel", "BartForConditionalGeneration", "BartForSequenceClassification"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout": 0.1, "d_model": 768, "decoder_attention_hea... |
{"architectures": ["GlmMoeDsaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 0, "dtype": "float16", "eos_token_id": 1, "ffn_hidden_size": 512, "hidden_act": "silu", "hidden_size": 512, "index_head_dim": 128, "index_n_heads": 32, "index_topk": 2048, "initializer_range": 0.02, "intermedi... |
{"_name_or_path": "EleutherAI/gpt-j-6B", "activation_function": "gelu_new", "architectures": ["GPTJModel"], "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": "gptj", "n_embd": 4096, "... |
{"_name_or_path": "e-tony/gpt2-rnm", "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": "gpt2", "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_embd": 7... |
{"architectures": ["Qwen3VLForConditionalGeneration"], "image_token_id": 151655, "model_type": "qwen3_vl", "text_config": {"attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "initializer_rang... |
{"_name_or_path": "facebook/wav2vec2-large-960h-lv60-self", "activation_dropout": 0.1, "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, "c... |
{"_name_or_path": "AutoNLP", "_num_labels": 1, "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": "target"}, "initialize... |
{"_name_or_path": "facebook/wav2vec2-base-960h", "activation_dropout": 0.1, "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_... |
{"architectures": ["Qwen3ForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "initializer_range": 0.02, "intermediate_size": 9728, "layer_types": ["full_attention", "full_attention", "full_attention", "full_attention", "fu... |
{"activation_dropout": 0.0, "activation_function": "relu", "architectures": ["M2M100ForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "d_model": 1536, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0, "decoder_layers": 6, "decoder_start_token_id": 2, "dropout": 0.2, ... |
{"_name_or_path": "facebook/wav2vec2-base-960h", "activation_dropout": 0.1, "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_... |
{"_name_or_path": "./klue_bert/", "architectures": ["BertForQuestionAnswering"], "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_embedd... |
{"model_type": "kokoro", "architectures": ["KModel"], "language": ["de"], "custom_pipeline": "text-to-speech"} |
{"_name_or_path": "facebook/wav2vec2-large-960h-lv60-self", "activation_dropout": 0.1, "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, "c... |
{"_name_or_path": "kobart_news", "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_... |
{"architectures": ["GlmMoeDsaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 0, "dtype": "bfloat16", "eos_token_id": [154820, 154827, 154829], "ep_size": 1, "first_k_dense_replace": 3, "hidden_act": "silu", "hidden_size": 6144, "index_head_dim": 128, "index_n_heads": 32, "index_topk": ... |
{"architectures": ["EncoderDecoderModel"], "decoder": {"architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bad_words_ids": null, "bos_token_id": null, "decoder_start_token_id": null, "directionality": "bidi", "do_sample": false, "early_stopping": false, "eos_token_id": null, "finetuning_task": n... |
{"_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_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim":... |
{"architectures": ["MistralForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 32768, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_head... |
{"_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_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim":... |
{"_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_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim":... |
{"_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_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim":... |
{"_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_dropout": 0.0, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim":... |
{"add_cross_attention": false, "architectures": ["XLMRobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "dtype": "float32", "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "anger", "1": "conte... |
{"_attn_implementation_autoset": true, "_name_or_path": "unsloth/whisper-large-v3-turbo", "activation_dropout": 0.0, "activation_function": "gelu", "apply_spec_augment": false, "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50256], "bos_token_id": 50257, "... |
{"_name_or_path": "models/final/deepset_gbert-base_class_weights=True_label=('Sub1_Toxic',)_languages=train.comments.labelled.csv+train.train.normalized.csv", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_p... |
{"_name_or_path": "models/final/deepset_gbert-base_class_weights=True_label=('Sub1_Toxic',)_languages=train.train.csv/checkpoint-649", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size"... |
{"_name_or_path": "models/final/google_mt5-base_class_weights=False_labels=Sub1_Toxic_languages=train.train.normalized.oversampling.csv+train.comments.labelled.oversampling.csv_bs=16_lr=5e-05_epoch=3", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": ... |
{"_name_or_path": "models/final/models_singleclass_google_mt5-base_class_weights=False_labels=hf_languages=combination_train.csv_bs=16_lr=5e-05_epoch=3_checkpoint-2250__class_weights=False_labels=Sub1_Toxic_languages=train.train.normalized.oversampling.csv+train.comments.lab", "architectures": ["MT5ForConditionalGenera... |
{"architectures": ["Qwen3_5MoeForConditionalGeneration"], "image_token_id": 248056, "model_type": "qwen3_5_moe", "text_config": {"attention_bias": false, "attention_dropout": 0.0, "attn_output_gate": true, "dtype": "bfloat16", "eos_token_id": 248044, "full_attention_interval": 4, "head_dim": 256, "hidden_act": "silu", ... |
{"_name_or_path": "models/final/models_singleclass_google_mt5-base_class_weights=False_labels=hf_languages=combination_train.csv_bs=16_lr=5e-05_epoch=3_checkpoint-2250__class_weights=False_labels=Sub1_Toxic_languages=train.train.normalized.oversampling.csv_bs=16_lr=5e-05_epo", "architectures": ["MT5ForConditionalGenera... |
{"activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": f... |
{"_name_or_path": "models/final/google_mt5-base_class_weights=False_labels=Sub1_Toxic_languages=train.train.normalized.oversampling.csv_bs=16_lr=5e-05_epoch=3", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1... |
{"activation_dropout": 0.1, "apply_spec_augment": true, "architectures": ["Wav2Vec2Model"], "attention_dropout": 0.1, "bos_token": "<s>", "bos_token_id": 1, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, 3, 3, 3, ... |
{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "float32", "eos_token_id": 2, "head_dim": 64, "hidden_act": "silu", "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "max_position_embeddings": 2048, "mlp_bias": false, "model_... |
{"_name_or_path": "google/mt5-base", "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_decoder": true, "layer_norm_epsilon": 1e-06, "mo... |
{"_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... |
{"_name_or_path": "Qwen/Qwen2.5-Coder-0.5B-Instruct", "architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 896, "initializer_range": 0.02, "intermediate_size": 4864, "max_position_embeddings": 32768, "max_window_layers": 24... |
{"_num_labels": 2, "_name_or_path": "bert-base-uncased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps":... |
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": null, "do_sample": false, "eos_token_ids": null, "finetuning_task": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "hate speech", "1": "normal", "2": "offensive"}, "in... |
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": null, "directionality": "bidi", "do_sample": false, "eos_token_ids": null, "finetuning_task": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.3, "hidden_size": 768, "id2label": {"0": "NON_HATE", "1": "HATE"}, ... |
{"_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... |
{"architectures": ["Gemma3ForConditionalGeneration"], "boi_token_index": 255999, "bos_token_id": 2, "dtype": "bfloat16", "eoi_token_index": 256000, "eos_token_id": 1, "image_encoder_lr": 0.0, "image_token_index": 262144, "initializer_range": 0.02, "mm_tokens_per_image": 256, "model_type": "gemma3", "pad_token_id": 0, "... |
{"architectures": ["Qwen3ForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151643, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 12288, "max_position_embeddings": 32768, "max_window_layers": 36, "model_... |
{"architectures": ["MiniMaxM2ForCausalLM"], "attention_dropout": 0.0, "attn_type_list": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "auto_map": {"AutoConfig": "configuration_mi... |
{"architectures": ["GlmMoeDsaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 0, "dtype": "float16", "eos_token_id": [154820, 154827, 154829], "ep_size": 1, "first_k_dense_replace": 3, "hidden_act": "silu", "hidden_size": 6144, "index_head_dim": 128, "index_n_heads": 32, "index_topk": 2... |
{"architectures": ["Qwen2_5_VLForConditionalGeneration"], "attention_dropout": 0.0, "dtype": "float32", "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 2048, "image_token_id": 151655, "initializer_range": 0.02, "intermediate_size": 11008, "max_position_embeddings": 128000, "max_window_layers": 70, "model_t... |
{"_name_or_path": "xlm-roberta-base", "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": 0.1, "hidden_size": 768, "id2label": {"0": "Not_offensive", "1": "Not_i... |
{"_name_or_path": "models/final/xlm-roberta-base_class_weights=True_label=('Sub1_Toxic',)_languages=train.train.normalized.csv+train.comments.labelled.csv/", "architectures": ["XLMRobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": fal... |
{"architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": [151643, 151645], "hidden_act": "silu", "hidden_size": 3584, "initializer_range": 0.02, "intermediate_size": 18944, "max_position_embeddings": 32768, "max_window_layers": 28, "model_type": "qwen2", "num_attention_h... |
{"add_cross_attention": false, "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "dtype": "float32", "eos_token_id": null, "eos_token_ids": 0, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_... |
{"_name_or_path": "xlm-roberta-base", "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": 0.1, "hidden_size": 768, "id2label": {"0": "Not_offensive", "1": "Not_i... |
{"_name_or_path": "models/final/models_singleclass_xlm-roberta-base_class_weights=False_labels=hf_languages=combination_train.csv_bs=16_lr=5e-05_epoch=1_checkpoint-3250__class_weights=True_label=('Sub1_Toxic',)_languages=train.train.normalized.csv+train.comments.labelled.csv", "architectures": ["XLMRobertaForSequenceCl... |
{"_name_or_path": "models/final/xlm-roberta-base_class_weights=True_label=('Sub1_Toxic',)_languages=train.train.csv/", "architectures": ["XLMRobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropo... |
{"_name_or_path": "models/final/models_singleclass_xlm-roberta-base_class_weights=False_labels=hf_languages=combination_train.csv_bs=16_lr=5e-05_epoch=1_checkpoint-3250__class_weights=True_label=('Sub1_Toxic',)_languages=train.train.csv", "architectures": ["XLMRobertaForSequenceClassification"], "attention_probs_dropou... |
{"architectures": ["Lfm2MoeForCausalLM"], "bos_token_id": 1, "conv_L_cache": 3, "conv_bias": false, "torch_dtype": "bfloat16", "eos_token_id": 7, "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 7168, "layer_types": ["conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv",... |
{"_name_or_path": "bert-base-multilingual-cased", "architectures": ["BertForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "la... |
{"_name_or_path": "./finetuned_model", "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_eps": 1e-12, "max_position_emb... |
{"architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "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": "airesearchth/wangchanberta-base-wiki-20210520-spm", "architectures": ["CamembertForQuestionAnswering"], "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"... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-12, "max_position_embeddi... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-05, "mask_token_id": 4, "... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-05, "mask_token_id": 4, "... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-05, "mask_token_id": 4, "... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-05, "mask_token_id": 4, "... |
{"_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, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 512, 512, 512, 512, 512, 512], ... |
{"_name_or_path": "output/checkpoint-13500", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "m... |
{"_name_or_path": "xlm-roberta-base", "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, "intermediate_size": 307... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-12, "max_position_embeddi... |
{"_name_or_path": "/tmp/Helsinki-NLP/opus-mt-ROMANCE-en", "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[65000]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_d... |
{"_name_or_path": "/tmp/Helsinki-NLP/opus-mt-SCANDINAVIA-SCANDINAVIA", "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": [[47230]], "bos_token_id": 0, "classif_dropout": 0.0, ... |
{"architectures": ["RobertaForMaskedLM"], "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, "layer_norm_eps": 1e-12, "max_position_embeddi... |
{"_name_or_path": "/tmp/Helsinki-NLP/opus-mt-aav-en", "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[56038]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropo... |
{"_name_or_path": "/tmp/Helsinki-NLP/opus-mt-aed-es", "_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": [[23624]], "bos_token_id": 0, "classif_dropout": 0.0,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.