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git-base-500img-dataset
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: 0.4161
- Wer Score: 2.0379
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 |
|---|---|---|---|---|
| 7.0698 | 3.23 | 50 | 4.5086 | 2.5298 |
| 2.6252 | 6.45 | 100 | 0.9823 | 2.2976 |
| 0.5497 | 9.68 | 150 | 0.4681 | 1.6707 |
| 0.2558 | 12.9 | 200 | 0.4162 | 1.7907 |
| 0.1551 | 16.13 | 250 | 0.4052 | 2.0984 |
| 0.1041 | 19.35 | 300 | 0.4054 | 2.0984 |
| 0.0764 | 22.58 | 350 | 0.4088 | 2.0576 |
| 0.0581 | 25.81 | 400 | 0.4054 | 2.0899 |
| 0.0462 | 29.03 | 450 | 0.4092 | 2.0484 |
| 0.0382 | 32.26 | 500 | 0.4118 | 2.1387 |
| 0.0329 | 35.48 | 550 | 0.4126 | 2.1315 |
| 0.0275 | 38.71 | 600 | 0.4139 | 2.0114 |
| 0.0255 | 41.94 | 650 | 0.4173 | 2.0098 |
| 0.0234 | 45.16 | 700 | 0.4155 | 2.0206 |
| 0.0226 | 48.39 | 750 | 0.4161 | 2.0379 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
