metadata
license: mit
base_model: malteos/gpt2-uk
tags:
- generated_from_trainer
model-index:
- name: GPT2-agriparts-2
results: []
GPT2-agriparts-2
This model is a fine-tuned version of malteos/gpt2-uk on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6971
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8803 | 1.0 | 1730 | 0.7869 |
| 0.7719 | 2.0 | 3460 | 0.7181 |
| 0.7025 | 3.0 | 5190 | 0.6971 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1