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{ |
|
"_name_or_path": "OpenAssistant/reward-model-deberta-v3-large-v2", |
|
"architectures": [ |
|
"DebertaV2ForSequenceClassification" |
|
], |
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"attention_probs_dropout_prob": 0.1, |
|
"hidden_act": "gelu", |
|
"hidden_dropout_prob": 0.1, |
|
"hidden_size": 1024, |
|
"id2label": { |
|
"0": "LABEL_0" |
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}, |
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"initializer_range": 0.02, |
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"intermediate_size": 4096, |
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"label2id": { |
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"LABEL_0": 0 |
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}, |
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"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, |
|
"output_hidden_states": true, |
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"pad_token_id": 0, |
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"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": "regression", |
|
"relative_attention": true, |
|
"share_att_key": true, |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.41.2", |
|
"type_vocab_size": 0, |
|
"vocab_size": 128100 |
|
} |
|
|