fact-check-v1 / config.json
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Upload fact-checking model v1 - DeBERTa-v3-large fine-tuned on LIAR dataset
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{
"_name_or_path": "./final-a100-model",
"architectures": [
"DebertaV2ForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "barely-true",
"1": "false",
"2": "half-true",
"3": "mostly-true",
"4": "pants-fire",
"5": "true"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"barely-true": 0,
"false": 1,
"half-true": 2,
"mostly-true": 3,
"pants-fire": 4,
"true": 5
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"model_type": "deberta-v2",
"norm_rel_ebd": "layer_norm",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 1024,
"pos_att_type": [
"p2c",
"c2p"
],
"position_biased_input": false,
"position_buckets": 256,
"problem_type": "single_label_classification",
"relative_attention": true,
"share_att_key": true,
"torch_dtype": "float32",
"transformers_version": "4.38.0",
"type_vocab_size": 0,
"vocab_size": 128100,
"task_specific_params": {
"text-classification": {
"max_length": 384,
"problem_type": "single_label_classification"
}
},
"finetuning_task": "fact_checking",
"custom_datasets": [
"liar"
],
"performance": {
"validation_accuracy": 0.4081,
"test_accuracy": 0.3757,
"macro_f1": 0.3689
}
}