139df95c-dfe4-4e59-b15e-379bb862ec4b

This model is a fine-tuned version of unsloth/SmolLM-360M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1783

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	0.0002	1	1.5819
0.763	0.0077	50	0.7901
0.5271	0.0154	100	0.5192
0.4671	0.0232	150	0.3890
0.3807	0.0309	200	0.3224
0.3266	0.0386	250	0.2751
0.299	0.0463	300	0.2268
0.2655	0.0541	350	0.1985
0.2568	0.0618	400	0.1843
0.3007	0.0695	450	0.1792
0.2126	0.0772	500	0.1783

Framework versions

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