---
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