| | --- |
| | 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 |
