metadata
library_name: peft
license: other
base_model: Qwen/Qwen3-14B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: scenario_to_selenium_Qwen3-14B_filtered
results: []
scenario_to_selenium_Qwen3-14B_filtered
This model is a fine-tuned version of Qwen/Qwen3-14B on the sft_simle_forms_test_scenario_to_code_filter-executable dataset. It achieves the following results on the evaluation set:
- Loss: 0.0205
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0333 | 0.5006 | 51 | 0.0445 |
| 0.0189 | 1.0 | 102 | 0.0273 |
| 0.0196 | 1.5006 | 153 | 0.0240 |
| 0.0164 | 2.0 | 204 | 0.0227 |
| 0.0139 | 2.5006 | 255 | 0.0222 |
| 0.012 | 3.0 | 306 | 0.0213 |
| 0.0091 | 3.5006 | 357 | 0.0205 |
| 0.0103 | 4.0 | 408 | 0.0203 |
| 0.0113 | 4.5006 | 459 | 0.0204 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1