blip_finetuned_fashion
This model is a fine-tuned version of Salesforce/blip-vqa-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0916
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.4382 | 1.0 | 28 | 8.7410 |
| 5.7906 | 2.0 | 56 | 4.4909 |
| 2.6817 | 3.0 | 84 | 1.9184 |
| 0.6839 | 4.0 | 112 | 0.4660 |
| 0.1304 | 5.0 | 140 | 0.1403 |
| 0.0621 | 6.0 | 168 | 0.1171 |
| 0.0322 | 7.0 | 196 | 0.0961 |
| 0.0178 | 8.0 | 224 | 0.0963 |
| 0.0119 | 9.0 | 252 | 0.0918 |
| 0.0088 | 10.0 | 280 | 0.0916 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Salesforce/blip-vqa-base