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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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<!-- 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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# MD5_gpt_neo
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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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## 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: 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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### Training results
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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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### Framework versions
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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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