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---
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license: mit
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base_model: openai-community/gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7840
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.6089 | 0.11 | 500 | 2.4953 |
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| 2.4861 | 0.23 | 1000 | 2.3031 |
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| 2.2466 | 0.34 | 1500 | 2.1884 |
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| 2.1959 | 0.45 | 2000 | 2.1158 |
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| 2.1861 | 0.56 | 2500 | 2.0607 |
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| 2.0509 | 0.68 | 3000 | 2.0170 |
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| 2.0867 | 0.79 | 3500 | 1.9839 |
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| 2.0165 | 0.9 | 4000 | 1.9543 |
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| 2.0106 | 1.02 | 4500 | 1.9313 |
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| 1.9741 | 1.13 | 5000 | 1.9129 |
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| 1.957 | 1.24 | 5500 | 1.8919 |
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| 1.9226 | 1.35 | 6000 | 1.8782 |
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| 1.8832 | 1.47 | 6500 | 1.8663 |
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| 1.9208 | 1.58 | 7000 | 1.8515 |
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| 1.9218 | 1.69 | 7500 | 1.8432 |
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| 1.9362 | 1.8 | 8000 | 1.8313 |
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| 1.8131 | 1.92 | 8500 | 1.8228 |
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| 1.8094 | 2.03 | 9000 | 1.8154 |
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| 1.8363 | 2.14 | 9500 | 1.8082 |
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| 1.8634 | 2.26 | 10000 | 1.8010 |
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| 1.8006 | 2.37 | 10500 | 1.7979 |
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| 1.867 | 2.48 | 11000 | 1.7947 |
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| 1.8712 | 2.59 | 11500 | 1.7898 |
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| 1.8806 | 2.71 | 12000 | 1.7885 |
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| 1.8838 | 2.82 | 12500 | 1.7856 |
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| 1.8542 | 2.93 | 13000 | 1.7840 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.5.1+cu124
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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