Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
clip-vit-base-patch32-lora-dtd
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: 1.8357
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 |
|---|---|---|---|
| No log | 1.0 | 4 | 4.1647 |
| No log | 2.0 | 8 | 2.6070 |
| 17.5852 | 3.0 | 12 | 2.1481 |
| 17.5852 | 4.0 | 16 | 1.8994 |
| 6.6125 | 5.0 | 20 | 1.8357 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 2.19.2
- Tokenizers 0.22.2
- Downloads last month
- 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Selsabeel/clip-vit-base-patch32-lora-dtd
Base model
openai/clip-vit-base-patch32