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Upload model

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  1. config.json +90 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_commit_hash": null,
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+ "_name_or_path": "/nlp/scr/fongsu/reward_model_HH/distilbert-base-uncased-2023-04-06 23:43:22.699772/",
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+ "architectures": [
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+ "RewardModel"
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+ ],
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+ "base_model_config": {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "DistilBertForMaskedLM"
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+ ],
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+ "decoder_start_token_id": null,
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+ "dim": 768,
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+ "diversity_penalty": 0.0,
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+ "do_sample": false,
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+ "dropout": 0.1,
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+ "early_stopping": false,
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+ "encoder_no_repeat_ngram_size": 0,
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+ "eos_token_id": null,
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+ "exponential_decay_length_penalty": null,
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+ "finetuning_task": null,
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+ "forced_bos_token_id": null,
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+ "forced_eos_token_id": null,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "initializer_range": 0.02,
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+ "is_decoder": false,
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+ "is_encoder_decoder": false,
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+ },
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+ "length_penalty": 1.0,
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+ "max_length": 20,
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+ "max_position_embeddings": 512,
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+ "min_length": 0,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "no_repeat_ngram_size": 0,
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+ "num_beam_groups": 1,
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+ "num_beams": 1,
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+ "num_return_sequences": 1,
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+ "output_attentions": false,
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+ "output_hidden_states": false,
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+ "output_scores": false,
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+ "pad_token_id": 0,
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+ "prefix": null,
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+ "problem_type": null,
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+ "pruned_heads": {},
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+ "qa_dropout": 0.1,
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+ "remove_invalid_values": false,
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+ "repetition_penalty": 1.0,
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+ "return_dict": true,
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+ "return_dict_in_generate": false,
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+ "sep_token_id": null,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "suppress_tokens": null,
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+ "task_specific_params": null,
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+ "temperature": 1.0,
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+ "tf_legacy_loss": false,
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+ "tie_encoder_decoder": false,
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+ "tie_weights_": true,
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+ "tie_word_embeddings": true,
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+ "tokenizer_class": null,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "torch_dtype": null,
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+ "torchscript": false,
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+ "transformers_version": "4.26.1",
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+ "typical_p": 1.0,
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+ "use_bfloat16": false,
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+ "vocab_size": 30522
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+ },
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+ "model_type": "reward_model",
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+ "torch_dtype": "float32",
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+ "transformers_version": null
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+ }
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