500801f5-4553-4501-968f-1033a54af23a

This model is a fine-tuned version of unsloth/SmolLM2-135M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0285

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	0.0001	1	1.2550
1.2061	0.0026	50	1.1268
1.1926	0.0052	100	1.0883
1.1191	0.0078	150	1.0683
1.1083	0.0104	200	1.0556
1.1673	0.0130	250	1.0448
1.029	0.0156	300	1.0379
1.0918	0.0182	350	1.0338
1.1084	0.0208	400	1.0300
1.0912	0.0234	450	1.0286
1.0653	0.0260	500	1.0285

Framework versions

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