sudopro/test

7d22b830-e6da-41fb-bf30-36a9b0a64fed

This model is a fine-tuned version of unsloth/SmolLM-360M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5199

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: 0.000213
• 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	0.0017	1	2.2995
1.9642	0.0842	50	1.8588
1.8211	0.1684	100	1.6553
1.5456	0.2525	150	1.5935
1.7312	0.3367	200	1.5831
1.6234	0.4209	250	1.5299
1.8022	0.5051	300	1.5193
1.3362	0.5892	350	1.5256
1.4218	0.6734	400	1.5206
1.5863	0.7576	450	1.5199

Framework versions

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