Assignment2-new-V3

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

• Loss: 3.8361

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: 0.0002
• train_batch_size: 4
• 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: constant
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.0969	0.2667	200	3.2086
2.7618	0.5333	400	3.1396
2.6575	0.8	600	3.1075
2.3658	1.0667	800	3.2368
1.6353	1.3333	1000	3.3381
1.6669	1.6	1200	3.2797
1.6874	1.8667	1400	3.2898
1.2667	2.1333	1600	3.7334
0.9263	2.4	1800	3.8037
0.9622	2.6667	2000	3.7691
0.9586	2.9333	2200	3.8361

Framework versions

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