business-news-generator_SMOLLM2_V2_Assign2

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: 2.7335

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: 5e-05
• train_batch_size: 16
• 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss
2.5791	0.9597	1500	2.4896
2.1238	1.9194	3000	2.3947
1.8368	2.8791	4500	2.3870
1.5856	3.8388	6000	2.4368
1.3788	4.7985	7500	2.5274
1.2133	5.7582	9000	2.6260
1.0943	6.7179	10500	2.7001
1.0295	7.6775	12000	2.7335

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1