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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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- rouge
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model-index:
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- name: MD5_gpt_neo_v1.1.4
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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_v1.1.4
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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: 8.4439
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- Rouge1: 0.0706
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- Rouge2: 0.0027
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- Rougel: 0.0591
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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 | Rouge1 | Rouge2 | Rougel |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
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| No log | 0.9956 | 112 | 1.2557 | 0.4506 | 0.3864 | 0.4424 |
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| No log | 2.0 | 225 | 2.6798 | 0.2436 | 0.0318 | 0.1904 |
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| No log | 2.9956 | 337 | 5.4290 | 0.1316 | 0.0166 | 0.1014 |
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| No log | 4.0 | 450 | 8.2713 | 0.0840 | 0.0032 | 0.0668 |
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| 7.8064 | 4.9778 | 560 | 8.4439 | 0.0706 | 0.0027 | 0.0591 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.1
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