Assignment2-new-V2

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: 2.8091

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: 4e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.713	0.2132	200	3.0735
2.5006	0.4264	400	2.9744
2.429	0.6397	600	2.9010
2.3265	0.8529	800	2.8553
2.2522	1.0661	1000	2.8387
2.0312	1.2793	1200	2.8240
2.0413	1.4925	1400	2.8113
2.0028	1.7058	1600	2.7954
1.9609	1.9190	1800	2.7805
1.9085	2.1322	2000	2.8096
1.8474	2.3454	2200	2.8107
1.8337	2.5586	2400	2.8090
1.8102	2.7719	2600	2.8089
1.8408	2.9851	2800	2.8091

Framework versions

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