7109402a-d544-471d-aead-f275fd9437af

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

• Loss: 1.7082

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: 0.000201
• 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	0.0000	1	1.8396
1.7301	0.0021	50	1.7784
1.6203	0.0043	100	1.7732
1.7314	0.0064	150	1.7605
1.8147	0.0086	200	1.7443
1.7867	0.0107	250	1.7315
1.5227	0.0128	300	1.7260
1.856	0.0150	350	1.7157
1.8324	0.0171	400	1.7099
1.713	0.0193	450	1.7096
1.6091	0.0214	500	1.7082

Framework versions

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