55a60f0c-5b3b-44ac-9de6-c2cbfdda0211

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0277

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: 0.000208
• 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	2.5772
2.4293	0.0098	50	2.3675
2.2249	0.0196	100	2.2141
2.2491	0.0294	150	2.1962
2.3228	0.0392	200	2.1490
2.3948	0.0490	250	2.1125
2.3685	0.0588	300	2.0765
2.0515	0.0686	350	2.0434
2.3202	0.0784	400	2.0295
2.0743	0.0882	450	2.0274
2.3115	0.0980	500	2.0277

Framework versions

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