68ca8256-f728-4013-bfeb-96b471fa39e4

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

• Loss: 11.9186

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: 0.000218
• 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	11.9326
11.9241	0.0118	50	11.9226
11.9204	0.0235	100	11.9212
11.9203	0.0353	150	11.9210
11.922	0.0470	200	11.9204
11.9189	0.0588	250	11.9196
11.9197	0.0705	300	11.9192
11.9188	0.0823	350	11.9188
11.921	0.0941	400	11.9187
11.9191	0.1058	450	11.9187
11.917	0.1176	500	11.9186

Framework versions

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