---
license: mit
base_model: malteos/gpt2-uk
tags:
- generated_from_trainer
model-index:
- name: GPT2-agriparts-2
  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-agriparts-2

This model is a fine-tuned version of [malteos/gpt2-uk](https://huggingface.co/malteos/gpt2-uk) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6176

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8695        | 1.0   | 1729  | 0.7865          |
| 0.7478        | 2.0   | 3458  | 0.7112          |
| 0.6687        | 3.0   | 5187  | 0.6721          |
| 0.6157        | 4.0   | 6916  | 0.6469          |
| 0.589         | 5.0   | 8645  | 0.6342          |
| 0.5588        | 6.0   | 10374 | 0.6239          |
| 0.538         | 7.0   | 12103 | 0.6187          |
| 0.5224        | 8.0   | 13832 | 0.6176          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1