---
library_name: peft
tags:
- generated_from_trainer
base_model: openai/clip-vit-base-patch32
model-index:
- name: 0.5-1.0-1.0_0.001_alllora
  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. -->

# 0.5-1.0-1.0_0.001_alllora

This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0976

## 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: 0.001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2591        | 0.5043 | 58   | 1.8737          |
| 0.2307        | 1.0087 | 116  | 1.8561          |
| 0.168         | 1.5130 | 174  | 1.9298          |
| 0.1804        | 2.0174 | 232  | 1.8496          |
| 0.1204        | 2.5217 | 290  | 1.8696          |
| 0.0984        | 3.0261 | 348  | 1.9012          |
| 0.0967        | 3.5304 | 406  | 1.9590          |
| 0.0872        | 4.0348 | 464  | 2.0099          |
| 0.0642        | 4.5391 | 522  | 2.0354          |
| 0.063         | 5.0435 | 580  | 1.9165          |
| 0.0445        | 5.5478 | 638  | 2.0544          |
| 0.0528        | 6.0522 | 696  | 1.9761          |
| 0.0545        | 6.5565 | 754  | 2.0307          |
| 0.0332        | 7.0609 | 812  | 2.0031          |
| 0.0417        | 7.5652 | 870  | 2.0609          |
| 0.0398        | 8.0696 | 928  | 2.0922          |
| 0.0363        | 8.5739 | 986  | 2.0674          |
| 0.0393        | 9.0783 | 1044 | 2.0836          |
| 0.0342        | 9.5826 | 1102 | 2.0976          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1