4828e621-44e3-4398-a8a7-48a261ed1542

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: 1.1795

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: 0.000217
• 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	0.0006	1	1.5136
1.4203	0.0284	50	1.3520
1.2462	0.0568	100	1.2833
1.1676	0.0853	150	1.2553
1.2814	0.1137	200	1.2285
1.2363	0.1421	250	1.2081
1.3145	0.1705	300	1.1925
1.2396	0.1989	350	1.1820
1.2818	0.2273	400	1.1731
1.3287	0.2558	450	1.1839
1.2625	0.2842	500	1.1795

Framework versions

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