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README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: MD5_gpt_neo
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+ results: []
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+ ---
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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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+
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+ # MD5_gpt_neo
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+
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3814
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+ - Bleu: 0.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:------:|:----:|:---------------:|:----:|
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+ | No log | 0.9091 | 5 | 7.9635 | 0.0 |
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+ | No log | 2.0 | 11 | 5.3680 | 0.0 |
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+ | No log | 2.9091 | 16 | 4.0323 | 0.0 |
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+ | No log | 4.0 | 22 | 3.4255 | 0.0 |
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+ | No log | 4.5455 | 25 | 3.3814 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
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+ "eos_token_id": 50256,
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+ "transformers_version": "4.46.0"
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+ }
merges.txt ADDED
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tokenizer.json ADDED
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vocab.json ADDED
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