Model save
Browse files- README.md +56 -0
- added_tokens.json +3 -0
- config.json +55 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +33 -0
- training_args.bin +3 -0
- vocab.json +0 -0
    	
        README.md
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            ---
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            license: mit
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            base_model: EleutherAI/gpt-neo-125m
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            tags:
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            - generated_from_trainer
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            model-index:
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            - name: gpt-neo-125m_LAMA_TREx_finetuning_MAGNET_same
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              results: []
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            ---
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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            should probably proofread and complete it, then remove this comment. -->
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            # gpt-neo-125m_LAMA_TREx_finetuning_MAGNET_same
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            This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
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            ## Model description
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            More information needed
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            ## Intended uses & limitations
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            More information needed
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            ## Training and evaluation data
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            More information needed
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            ## Training procedure
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            ### Training hyperparameters
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            The following hyperparameters were used during training:
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            - learning_rate: 2e-05
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            - train_batch_size: 32
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            - eval_batch_size: 32
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            - seed: 0
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            - distributed_type: multi-GPU
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            - num_devices: 4
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            - total_train_batch_size: 128
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            - total_eval_batch_size: 128
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            - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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            - lr_scheduler_type: linear
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            - num_epochs: 3.0
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            ### Training results
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            ### Framework versions
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            - Transformers 4.33.2
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            - Pytorch 1.13.1
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            - Datasets 2.14.5
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            - Tokenizers 0.13.3
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        added_tokens.json
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        config.json
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            {
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              "_name_or_path": "EleutherAI/gpt-neo-125m",
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              "activation_function": "gelu_new",
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              "architectures": [
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                "GPTNeoForCausalLM"
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              ],
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              "attention_types": [
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                  [
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                  ],
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                ]
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              ],
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              "bos_token_id": 50256,
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              "classifier_dropout": 0.1,
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              "embed_dropout": 0,
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              "gradient_checkpointing": false,
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              "hidden_size": 768,
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              "initializer_range": 0.02,
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              "intermediate_size": null,
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              "layer_norm_epsilon": 1e-05,
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              "max_position_embeddings": 2048,
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              "model_type": "gpt_neo",
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              "num_heads": 12,
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              "num_layers": 12,
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              "resid_dropout": 0,
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              "summary_activation": null,
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              "summary_first_dropout": 0.1,
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              "summary_proj_to_labels": true,
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              "summary_type": "cls_index",
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              "summary_use_proj": true,
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              "torch_dtype": "float16",
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              "transformers_version": "4.33.2",
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              "use_cache": true,
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              "vocab_size": 50258,
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              "window_size": 256
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            }
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        generation_config.json
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        pytorch_model.bin
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