---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# jina-clip-v2-fi-flickr-lora

This model is a fine-tuned version of [jinaai/jina-clip-v2](https://huggingface.co/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