hiepnkv/Qwen2.5-14B-Instruct-SFT-filter

scenario_to_selenium_Qwen2.5-14B-Instruct-filtered

This model is a fine-tuned version of Qwen/Qwen2.5-14B-Instruct on the sft_simle_forms_test_scenario_to_code_filter-executable dataset. It achieves the following results on the evaluation set:

• Loss: 0.0224

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
0.0314	0.5006	51	0.0391
0.0273	1.0	102	0.0279
0.0191	1.5006	153	0.0249
0.0162	2.0	204	0.0234
0.0166	2.5006	255	0.0233
0.0132	3.0	306	0.0228
0.0112	3.5006	357	0.0223
0.0097	4.0	408	0.0219
0.0172	4.5399	459	0.0225

Framework versions

• PEFT 0.15.1
• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1