32e5aa89-b903-4d0d-906f-719a8b00f1ff

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0850

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: 0.000207
• 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	0.0002	1	0.6174
0.12	0.0114	50	0.1566
0.1155	0.0229	100	0.1270
0.0906	0.0343	150	0.1307
0.1028	0.0457	200	0.1006
0.078	0.0572	250	0.1092
0.0861	0.0686	300	0.0948
0.0929	0.0801	350	0.0887
0.0727	0.0915	400	0.0884
0.0695	0.1029	450	0.0853
0.0689	0.1144	500	0.0850

Framework versions

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