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---
license: mit
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: gpt2-evy
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. -->
# gpt2-evy
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5637
## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 31 | 1.1270 |
| No log | 2.0 | 62 | 0.9170 |
| No log | 3.0 | 93 | 0.8410 |
| 1.3727 | 4.0 | 124 | 0.7949 |
| 1.3727 | 5.0 | 155 | 0.7361 |
| 1.3727 | 6.0 | 186 | 0.7021 |
| 0.9077 | 7.0 | 217 | 0.6789 |
| 0.9077 | 8.0 | 248 | 0.6490 |
| 0.9077 | 9.0 | 279 | 0.6346 |
| 0.7106 | 10.0 | 310 | 0.6219 |
| 0.7106 | 11.0 | 341 | 0.5986 |
| 0.7106 | 12.0 | 372 | 0.5797 |
| 0.5814 | 13.0 | 403 | 0.5835 |
| 0.5814 | 14.0 | 434 | 0.5872 |
| 0.5814 | 15.0 | 465 | 0.5741 |
| 0.5814 | 16.0 | 496 | 0.5749 |
| 0.4916 | 17.0 | 527 | 0.5662 |
| 0.4916 | 18.0 | 558 | 0.5529 |
| 0.4916 | 19.0 | 589 | 0.5672 |
| 0.4005 | 20.0 | 620 | 0.5646 |
| 0.4005 | 21.0 | 651 | 0.5701 |
| 0.4005 | 22.0 | 682 | 0.5650 |
| 0.357 | 23.0 | 713 | 0.5637 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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