| { | |
| "architectures": [ | |
| "RewardModel" | |
| ], | |
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| "auto_map": { | |
| "AutoConfig": "reward_model_config.RewardModelConfig", | |
| "AutoModel": "reward_model.RewardModel" | |
| }, | |
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| "hidden_act": "gelu", | |
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| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
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| "linear_layer_output": 1, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert-reward", | |
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| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.25.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 28996 | |
| } | |