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Blip2-2.7B_tarot
This model is a fine-tuned version of Salesforce/blip2-opt-2.7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4049
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.5473 | 1.0 | 21 | 7.3498 |
| 6.4523 | 2.0 | 42 | 5.0120 |
| 5.1478 | 2.8944 | 60 | 4.4049 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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Base model
Salesforce/blip2-opt-2.7b