Huyle2501/SmolLM2-NewGen

SmolLM2-testing

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.8183

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
3.3244	0.1066	100	3.1575
2.9347	0.2132	200	3.0467
2.8302	0.3198	300	2.9874
2.8362	0.4264	400	2.9479
2.7913	0.5330	500	2.9120
2.7092	0.6397	600	2.8882
2.6953	0.7463	700	2.8684
2.6043	0.8529	800	2.8508
2.5504	0.9595	900	2.8356
2.4937	1.0661	1000	2.8345
2.3495	1.1727	1100	2.8333
2.3568	1.2793	1200	2.8295
2.3536	1.3859	1300	2.8278
2.3287	1.4925	1400	2.8236
2.3339	1.5991	1500	2.8211
2.3566	1.7058	1600	2.8193
2.3626	1.8124	1700	2.8185
2.3146	1.9190	1800	2.8183

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0