git-base-pokemon
This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4035
- Wer Score: 1.5183
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.2724 | 2.0 | 50 | 4.6456 | 10.9317 |
| 2.6854 | 4.0 | 100 | 0.8998 | 10.6017 |
| 0.5411 | 6.0 | 150 | 0.4014 | 0.9533 |
| 0.2944 | 8.0 | 200 | 0.3795 | 0.945 |
| 0.1998 | 10.0 | 250 | 0.3885 | 1.17 |
| 0.1466 | 12.0 | 300 | 0.3911 | 0.9633 |
| 0.1161 | 14.0 | 350 | 0.3987 | 0.9633 |
| 0.0994 | 16.0 | 400 | 0.4011 | 1.24 |
| 0.0891 | 18.0 | 450 | 0.4027 | 1.2417 |
| 0.0838 | 20.0 | 500 | 0.4035 | 1.5183 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2