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git-base-coco-dummy-temp12
This model is a fine-tuned version of microsoft/git-base-coco on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3199
- Wer Score: 2.1457
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 7.2365 | 3.23 | 50 | 4.6009 | 2.7286 |
| 2.7457 | 6.45 | 100 | 0.9830 | 2.0444 |
| 0.5898 | 9.68 | 150 | 0.4162 | 1.9788 |
| 0.2845 | 12.9 | 200 | 0.3463 | 2.3103 |
| 0.1764 | 16.13 | 250 | 0.3227 | 2.3805 |
| 0.1162 | 19.35 | 300 | 0.3167 | 2.3759 |
| 0.0856 | 22.58 | 350 | 0.3144 | 2.2456 |
| 0.065 | 25.81 | 400 | 0.3138 | 2.3201 |
| 0.0513 | 29.03 | 450 | 0.3149 | 2.1917 |
| 0.0435 | 32.26 | 500 | 0.3163 | 2.1561 |
| 0.0363 | 35.48 | 550 | 0.3162 | 2.1466 |
| 0.0312 | 38.71 | 600 | 0.3179 | 2.1793 |
| 0.0286 | 41.94 | 650 | 0.3200 | 2.2413 |
| 0.0267 | 45.16 | 700 | 0.3204 | 2.1061 |
| 0.0255 | 48.39 | 750 | 0.3199 | 2.1457 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
