Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
clip-vit-base-patch32-lora-mnist
This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1071
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: 0.005
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 23.4592 | 1.0 | 59 | 4.4694 |
| 14.9199 | 2.0 | 118 | 3.2267 |
| 11.5701 | 3.0 | 177 | 1.7225 |
| 9.1476 | 4.0 | 236 | 1.2955 |
| 8.2926 | 5.0 | 295 | 1.1071 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 2.19.2
- Tokenizers 0.22.2
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Model tree for Selsabeel/clip-vit-base-patch32-lora-mnist
Base model
openai/clip-vit-base-patch32