525a8c0e-2204-4b98-a938-3c444822cc1b

This model is a fine-tuned version of peft-internal-testing/tiny-dummy-qwen2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 11.8875

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: 0.000202
• 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	11.9326
11.9037	0.0406	50	11.9001
11.8942	0.0811	100	11.8893
11.8847	0.1217	150	11.8881
11.8799	0.1622	200	11.8884
11.8879	0.2028	250	11.8879
11.8847	0.2433	300	11.8881
11.8855	0.2839	350	11.8874
11.8835	0.3244	400	11.8875
11.8802	0.3650	450	11.8876
11.8847	0.4055	500	11.8875

Framework versions

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