Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string
rico-blip-lora
This model is a fine-tuned version of Salesforce/blip-image-captioning-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8293
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.1654 | 0.2823 | 500 | 8.1154 |
| 7.9349 | 0.5647 | 1000 | 7.9267 |
| 7.8727 | 0.8470 | 1500 | 7.8694 |
| 7.8471 | 1.1293 | 2000 | 7.8467 |
| 7.8374 | 1.4116 | 2500 | 7.8362 |
| 7.8324 | 1.6940 | 3000 | 7.8311 |
| 7.8319 | 1.9763 | 3500 | 7.8293 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for PMN23/rico-blip-lora
Base model
Salesforce/blip-image-captioning-base