a4ee5d50-21f2-486c-8e84-93a5b079e06b

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: 0.6982

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: 0.000204
• 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	0.0018	1	4.0180
2.9313	0.0920	50	2.4172
1.6155	0.1840	100	1.4182
1.1265	0.2760	150	1.0201
0.9436	0.3680	200	0.8969
0.8983	0.4600	250	0.8206
0.7935	0.5520	300	0.7618
0.7933	0.6440	350	0.7312
0.712	0.7360	400	0.7077
0.728	0.8280	450	0.6948
0.6813	0.9200	500	0.6982

Framework versions

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