e420ba63-22a8-4cc7-b00b-7123f71fef6b

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: 1.9455

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0004	1	4.6534
1.8932	0.0221	50	2.1216
2.033	0.0443	100	2.1431
2.1789	0.0664	150	2.1224
1.9642	0.0886	200	2.0789
1.9758	0.1107	250	2.0376
2.011	0.1329	300	2.0242
1.8957	0.1550	350	1.9762
1.9096	0.1771	400	1.9563
1.9558	0.1993	450	1.9491
1.7609	0.2214	500	1.9455

Framework versions

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