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README.md
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: mlm_final
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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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# mlm_final
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0700
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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: 16
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- eval_batch_size: 8
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- seed: 9
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 15.6719 | 0.99 | 22 | 5.3660 |
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| 4.3293 | 1.98 | 44 | 4.4748 |
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| 3.882 | 2.97 | 66 | 4.2731 |
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| 3.7072 | 3.96 | 88 | 4.1473 |
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| 3.6499 | 4.94 | 110 | 4.1219 |
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| 3.5604 | 5.93 | 132 | 4.0896 |
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| 3.5268 | 6.92 | 154 | 4.0700 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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