---
library_name: peft
license: apache-2.0
base_model: ByteDance-Seed/UI-TARS-1.5-7B
tags:
- base_model:adapter:ByteDance-Seed/UI-TARS-1.5-7B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: ui-tars-model-webclick-all
  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. -->

# ui-tars-model-webclick-all

This model is a fine-tuned version of [ByteDance-Seed/UI-TARS-1.5-7B](https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2281

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.1462        | 0.05  | 50   | 0.3293          |
| 4.4928        | 0.1   | 100  | 0.2736          |
| 4.2465        | 0.15  | 150  | 0.2545          |
| 4.0585        | 0.2   | 200  | 0.2520          |
| 3.9869        | 0.25  | 250  | 0.2456          |
| 3.7458        | 0.3   | 300  | 0.2395          |
| 3.4935        | 0.35  | 350  | 0.2462          |
| 3.6618        | 0.4   | 400  | 0.2517          |
| 3.6609        | 0.45  | 450  | 0.2346          |
| 3.5013        | 0.5   | 500  | 0.2371          |
| 3.4309        | 0.55  | 550  | 0.2387          |
| 3.6304        | 0.6   | 600  | 0.2311          |
| 3.3207        | 0.65  | 650  | 0.2296          |
| 3.4227        | 0.7   | 700  | 0.2273          |
| 3.2289        | 0.75  | 750  | 0.2264          |
| 3.3568        | 0.8   | 800  | 0.2265          |
| 3.2826        | 0.85  | 850  | 0.2274          |
| 3.3092        | 0.9   | 900  | 0.2262          |
| 3.1876        | 0.95  | 950  | 0.2281          |
| 3.1462        | 1.0   | 1000 | 0.2281          |


### Framework versions

- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4