---
tags:
- generated_from_trainer
model-index:
- name: clip-hugging-face-finetuned
  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. -->

# clip-hugging-face-finetuned

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4228

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8261        | 0.0625 | 1    | 1.7808          |
| 1.7935        | 0.125  | 2    | 1.6237          |
| 2.2498        | 0.1875 | 3    | 1.7418          |
| 1.9536        | 0.25   | 4    | 1.7778          |
| 2.1207        | 0.3125 | 5    | 1.7882          |
| 2.1623        | 0.375  | 6    | 1.8578          |
| 2.0764        | 0.4375 | 7    | 1.8868          |
| 2.206         | 0.5    | 8    | 1.8571          |
| 2.2791        | 0.5625 | 9    | 1.8134          |
| 2.2276        | 0.625  | 10   | 1.7591          |
| 1.826         | 0.6875 | 11   | 1.6688          |
| 1.668         | 0.75   | 12   | 1.5710          |
| 1.8039        | 0.8125 | 13   | 1.5271          |
| 1.7761        | 0.875  | 14   | 1.4974          |
| 1.5512        | 0.9375 | 15   | 1.4799          |
| 1.0115        | 1.0    | 16   | 1.4686          |
| 0.4346        | 1.0625 | 17   | 1.4616          |
| 0.3421        | 1.125  | 18   | 1.4560          |
| 0.3134        | 1.1875 | 19   | 1.4582          |
| 0.2237        | 1.25   | 20   | 1.4679          |
| 0.6518        | 1.3125 | 21   | 1.4689          |
| 0.3559        | 1.375  | 22   | 1.4730          |
| 0.38          | 1.4375 | 23   | 1.4652          |
| 0.3887        | 1.5    | 24   | 1.4595          |
| 0.3202        | 1.5625 | 25   | 1.4468          |
| 0.2525        | 1.625  | 26   | 1.4385          |
| 0.5361        | 1.6875 | 27   | 1.4364          |
| 0.3427        | 1.75   | 28   | 1.4358          |
| 0.2529        | 1.8125 | 29   | 1.4346          |
| 0.1857        | 1.875  | 30   | 1.4301          |
| 0.3143        | 1.9375 | 31   | 1.4248          |
| 0.1912        | 2.0    | 32   | 1.4228          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1