bd98de3b-d3d4-424d-9b8f-0c39a79e1d95

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0002	1	1.9922
0.006	0.0106	50	0.4450
0.0004	0.0212	100	0.0085
0.0003	0.0318	150	0.0057
0.0002	0.0424	200	0.0013
0.0002	0.0530	250	0.0022
0.0001	0.0636	300	0.0019
0.0001	0.0742	350	0.0003
0.0001	0.0848	400	0.0002
0.0002	0.0955	450	0.0001
0.0001	0.1061	500	0.0001

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1