c1eef9af-6bc1-4e0b-be63-97c40bc93592

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: 0.7795

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: 100
• 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	0.0001	1	1.0964
1.0426	0.0031	50	0.9096
0.9245	0.0061	100	0.8622
0.9113	0.0092	150	0.8378
0.8542	0.0122	200	0.8199
0.8947	0.0153	250	0.8053
0.872	0.0183	300	0.7967
0.8638	0.0214	350	0.7876
0.819	0.0244	400	0.7825
0.8681	0.0275	450	0.7797
0.8238	0.0306	500	0.7795

Framework versions

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