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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: 0.0348
- Wer Score: 2.7147
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.3601 | 4.17 | 50 | 4.5925 | 21.8560 |
| 2.4331 | 8.33 | 100 | 0.4978 | 15.2153 |
| 0.1504 | 12.5 | 150 | 0.0323 | 1.2062 |
| 0.0142 | 16.67 | 200 | 0.0288 | 3.0791 |
| 0.0039 | 20.83 | 250 | 0.0314 | 2.3619 |
| 0.0021 | 25.0 | 300 | 0.0327 | 2.6537 |
| 0.0016 | 29.17 | 350 | 0.0333 | 3.2049 |
| 0.0014 | 33.33 | 400 | 0.0344 | 2.9403 |
| 0.0012 | 37.5 | 450 | 0.0344 | 2.9624 |
| 0.0011 | 41.67 | 500 | 0.0345 | 2.8106 |
| 0.0011 | 45.83 | 550 | 0.0346 | 2.7393 |
| 0.0011 | 50.0 | 600 | 0.0348 | 2.7147 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
