metadata
license: mit
base_model: malteos/gpt2-uk
tags:
- generated_from_trainer
model-index:
- name: agriparts-4
results: []
agriparts-4
This model is a fine-tuned version of malteos/gpt2-uk on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3695
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 182 | 0.4886 |
| No log | 2.0 | 364 | 0.3933 |
| 0.7402 | 3.0 | 546 | 0.3695 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1