4f6da658-4583-48d0-917c-07676a405021

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

• Loss: 3.0888

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: 0.00021
• 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	4.8112
3.3234	0.0124	50	3.9719
3.0564	0.0249	100	3.5898
3.1932	0.0373	150	3.4221
2.8668	0.0498	200	3.2898
2.8381	0.0622	250	3.1946
2.99	0.0747	300	3.1385
2.8295	0.0871	350	3.1106
3.0973	0.0996	400	3.0984
2.812	0.1120	450	3.0911
3.0847	0.1244	500	3.0888

Framework versions

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