dc24576a-0c53-4d2e-911c-b0d3ac3c1d60

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: 0.1754

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: 100
• 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	1.6356
0.6246	0.0019	50	0.3264
0.4428	0.0039	100	0.3348
0.2977	0.0058	150	0.2764
0.3748	0.0077	200	0.2430
0.2707	0.0096	250	0.2317
0.2267	0.0116	300	0.2215
0.1907	0.0135	350	0.1911
0.3465	0.0154	400	0.1820
0.3195	0.0173	450	0.1766
0.2919	0.0193	500	0.1754

Framework versions

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