bd66b391-b975-48ac-b2fa-1517e14ff4ad

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

• Loss: 1.5615

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	2.5411
2.031	0.0010	50	2.0144
1.8963	0.0020	100	1.8420
1.7379	0.0029	150	1.7665
1.6386	0.0039	200	1.7132
1.6857	0.0049	250	1.6582
1.6102	0.0059	300	1.6215
1.6331	0.0069	350	1.5961
1.5731	0.0078	400	1.5721
1.5927	0.0088	450	1.5630
1.574	0.0098	500	1.5615

Framework versions

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