2633c5c4-0396-4f8a-a5ec-df27508e79f2

This model is a fine-tuned version of unsloth/Qwen2-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0544

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: 0.000206
• 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	0.0008	1	1.1879
1.0481	0.0410	50	1.1445
1.0289	0.0821	100	1.1724
1.0706	0.1231	150	1.1269
0.9754	0.1641	200	1.1136
1.1411	0.2052	250	1.0916
1.0608	0.2462	300	1.0737
1.0404	0.2872	350	1.0615
0.9828	0.3283	400	1.0560
0.9821	0.3693	450	1.0554
1.0891	0.4103	500	1.0544

Framework versions

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