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---
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
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