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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: gpt2-cocnat-mod-datasets-txt-processing
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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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# gpt2-cocnat-mod-datasets-txt-processing
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3377
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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: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 64
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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: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 6
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 6.6848 | 0.3 | 500 | 5.6500 |
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| 5.3379 | 0.59 | 1000 | 5.2204 |
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| 4.9909 | 0.89 | 1500 | 4.9703 |
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| 4.7146 | 1.19 | 2000 | 4.8200 |
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| 4.5695 | 1.49 | 2500 | 4.7076 |
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| 4.4685 | 1.78 | 3000 | 4.5985 |
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| 4.3237 | 2.08 | 3500 | 4.5311 |
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| 4.1614 | 2.38 | 4000 | 4.4731 |
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| 4.1267 | 2.68 | 4500 | 4.4151 |
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| 4.082 | 2.97 | 5000 | 4.3593 |
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| 3.8448 | 3.27 | 5500 | 4.3575 |
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| 3.8261 | 3.57 | 6000 | 4.3240 |
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| 3.8089 | 3.86 | 6500 | 4.2887 |
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| 3.6462 | 4.16 | 7000 | 4.2921 |
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| 3.5453 | 4.46 | 7500 | 4.2840 |
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| 3.529 | 4.76 | 8000 | 4.2688 |
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| 3.4926 | 5.05 | 8500 | 4.2683 |
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| 3.3463 | 5.35 | 9000 | 4.2715 |
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| 3.3453 | 5.65 | 9500 | 4.2702 |
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| 3.3408 | 5.95 | 10000 | 4.2694 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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