b5711afc-4e44-4dbb-85aa-aaa3eed0864f

This model is a fine-tuned version of unsloth/SmolLM2-1.7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9924

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: 0.000206
• 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	0.0000	1	3.6493
2.3757	0.0024	50	2.2268
2.1785	0.0047	100	2.1244
2.2329	0.0071	150	2.1124
2.152	0.0095	200	2.0817
2.1639	0.0118	250	2.0419
2.1694	0.0142	300	2.0250
2.2122	0.0166	350	2.0103
2.1752	0.0189	400	1.9981
2.211	0.0213	450	1.9933
2.1691	0.0237	500	1.9924

Framework versions

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