git-base-isg-189
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: 0.0685
- Wer Score: 0.6303
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 13.3363 | 8.3636 | 50 | 4.6384 | 23.4121 |
| 5.1236 | 16.7273 | 100 | 1.0342 | 10.4485 |
| 0.8189 | 25.0 | 150 | 0.1376 | 1.1515 |
| 0.129 | 33.3636 | 200 | 0.0735 | 0.6545 |
| 0.0538 | 41.7273 | 250 | 0.0685 | 0.6303 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for ssalvo41/git-base-isg-189
Base model
microsoft/git-base