f1543d17-5426-440d-8bf9-141e755bd181

This model is a fine-tuned version of unsloth/Qwen2.5-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4235

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: 0.00021
• 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	0.0001	1	6.8915
0.2429	0.0036	50	0.7129
0.2512	0.0073	100	0.7055
0.1963	0.0109	150	0.9469
0.2288	0.0145	200	0.6889
0.3576	0.0182	250	0.6743
0.1701	0.0218	300	0.5274
0.2707	0.0254	350	0.4969
0.181	0.0290	400	0.4441
0.2774	0.0327	450	0.4243
0.233	0.0363	500	0.4235

Framework versions

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