39c32fe2-822f-40a2-8a6f-6d1431040222

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

• Loss: 2.6054

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: 0.000218
• 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	0.0003	1	4.7671
2.8214	0.0139	50	3.3235
2.6545	0.0278	100	3.1981
2.7637	0.0417	150	3.0197
2.6656	0.0556	200	2.9606
2.6922	0.0695	250	2.8366
2.5592	0.0834	300	2.8625
2.5809	0.0973	350	2.7720
2.5088	0.1112	400	2.6352
2.6097	0.1251	450	2.6079
2.5724	0.1390	500	2.6054

Framework versions

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