a5dd4b68-d14a-4422-a059-1ba26a9adc39

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

• Loss: 2.3824

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: 0.000212
• 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	0.0004	1	3.0103
3.1052	0.0176	50	2.7864
3.035	0.0353	100	3.2092
3.1277	0.0529	150	2.8647
2.733	0.0705	200	2.5873
2.9725	0.0882	250	2.5156
3.0365	0.1058	300	2.4740
3.0172	0.1234	350	2.4128
3.0221	0.1411	400	2.3914
2.8094	0.1587	450	2.3839
3.0007	0.1763	500	2.3824

Framework versions

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