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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: pretrained_gpt2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pretrained_gpt2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4616
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.48 | 1.17 | 500 | 6.1099 |
| 5.5792 | 2.35 | 1000 | 5.7804 |
| 5.1247 | 3.52 | 1500 | 5.6199 |
| 4.7774 | 4.69 | 2000 | 5.5176 |
| 4.4701 | 5.87 | 2500 | 5.4713 |
| 4.1836 | 7.04 | 3000 | 5.4591 |
| 3.9183 | 8.22 | 3500 | 5.4620 |
| 3.7163 | 9.39 | 4000 | 5.4616 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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