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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: 0.0372
- Wer Score: 2.1641
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 |
|---|---|---|---|---|
| 7.3017 | 4.17 | 50 | 4.4850 | 20.9419 |
| 2.3174 | 8.33 | 100 | 0.4334 | 8.6357 |
| 0.1315 | 12.5 | 150 | 0.0334 | 0.4225 |
| 0.0175 | 16.67 | 200 | 0.0309 | 1.1072 |
| 0.0057 | 20.83 | 250 | 0.0330 | 2.3527 |
| 0.0024 | 25.0 | 300 | 0.0351 | 2.5284 |
| 0.0017 | 29.17 | 350 | 0.0358 | 2.4496 |
| 0.0014 | 33.33 | 400 | 0.0364 | 2.3941 |
| 0.0012 | 37.5 | 450 | 0.0367 | 2.1628 |
| 0.0011 | 41.67 | 500 | 0.0371 | 2.2390 |
| 0.0011 | 45.83 | 550 | 0.0372 | 2.1447 |
| 0.001 | 50.0 | 600 | 0.0372 | 2.1641 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
