business-news-generator

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: 2.9279

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: 1e-05
• train_batch_size: 10
• 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
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 1700

Training results

Training Loss	Epoch	Step	Validation Loss
3.582	0.1667	200	3.3094
3.0917	0.3333	400	3.1052
2.9282	0.5	600	3.0257
2.8733	0.6667	800	2.9808
2.8223	0.8333	1000	2.9521
2.8068	1.0	1200	2.9359
2.714	1.1667	1400	2.9297
2.7718	1.3333	1600	2.9279

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1