git-base-food
This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0444
- Wer Score: 10.0470
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: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Wer Score |
---|---|---|---|---|
No log | 1.05 | 20 | 7.3069 | 113.3758 |
No log | 2.11 | 40 | 5.3566 | 3.2282 |
No log | 3.16 | 60 | 3.4409 | 1.1879 |
No log | 4.21 | 80 | 1.7218 | 1.1007 |
No log | 5.26 | 100 | 0.5834 | 1.0872 |
No log | 6.32 | 120 | 0.1684 | 1.3020 |
No log | 7.37 | 140 | 0.0720 | 2.9732 |
No log | 8.42 | 160 | 0.0507 | 2.0805 |
No log | 9.47 | 180 | 0.0467 | 3.0336 |
No log | 10.53 | 200 | 0.0415 | 10.6107 |
No log | 11.58 | 220 | 0.0425 | 7.7383 |
No log | 12.63 | 240 | 0.0426 | 14.1745 |
No log | 13.68 | 260 | 0.0434 | 6.0067 |
No log | 14.74 | 280 | 0.0447 | 10.5503 |
No log | 15.79 | 300 | 0.0434 | 9.1678 |
No log | 16.84 | 320 | 0.0439 | 10.8591 |
No log | 17.89 | 340 | 0.0446 | 10.0470 |
No log | 18.95 | 360 | 0.0444 | 10.1208 |
No log | 20.0 | 380 | 0.0444 | 10.0470 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for kariver/git-base-food
Base model
microsoft/git-base