| { |
| "_name_or_path": "mllm-dev/gpt2_f_experiment_2_drug_data", |
| "activation_function": "gelu_new", |
| "architectures": [ |
| "GPT2ForSequenceClassification" |
| ], |
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| "4": "LABEL_4", |
| "5": "LABEL_5", |
| "6": "LABEL_6", |
| "7": "LABEL_7", |
| "8": "LABEL_8", |
| "9": "LABEL_9" |
| }, |
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| }, |
| "layer_norm_epsilon": 1e-05, |
| "model_type": "gpt2", |
| "n_ctx": 1024, |
| "n_embd": 768, |
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| "n_inner": null, |
| "n_layer": 12, |
| "n_positions": 1024, |
| "pad_token_id": 50256, |
| "problem_type": "single_label_classification", |
| "reorder_and_upcast_attn": false, |
| "resid_pdrop": 0.1, |
| "scale_attn_by_inverse_layer_idx": false, |
| "scale_attn_weights": true, |
| "summary_activation": null, |
| "summary_first_dropout": 0.1, |
| "summary_proj_to_labels": true, |
| "summary_type": "cls_index", |
| "summary_use_proj": true, |
| "task_specific_params": { |
| "text-generation": { |
| "do_sample": true, |
| "max_length": 50 |
| } |
| }, |
| "torch_dtype": "float16", |
| "transformers_version": "4.40.0.dev0", |
| "use_cache": true, |
| "vocab_size": 50257 |
| } |
|
|