metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: jinaai/jina-clip-v2
tags:
- generated_from_trainer
model-index:
- name: jina-clip-v2-fi-flickr-lora
results: []
jina-clip-v2-fi-flickr-lora
This model is a fine-tuned version of jinaai/jina-clip-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1111
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0929 | 1.0 | 157 | 0.1466 |
| 0.0586 | 2.0 | 314 | 0.1117 |
| 0.0066 | 2.9840 | 468 | 0.1111 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1