Assignment2-modified-V4

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: 2.8664

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.5124	0.1067	200	3.1406
2.646	0.2133	400	3.0470
2.4984	0.32	600	2.9933
2.4831	0.4267	800	2.9577
2.4422	0.5333	1000	2.9183
2.3946	0.64	1200	2.8964
2.3091	0.7467	1400	2.8777
2.3445	0.8533	1600	2.8548
2.3067	0.96	1800	2.8339
2.1795	1.0667	2000	2.8570
1.9869	1.1733	2200	2.8557
1.9955	1.28	2400	2.8516
2.0386	1.3867	2600	2.8442
1.9987	1.4933	2800	2.8436
2.0111	1.6	3000	2.8368
1.9452	1.7067	3200	2.8283
1.9509	1.8133	3400	2.8191
1.9163	1.92	3600	2.8148
1.9621	2.0267	3800	2.8338
1.786	2.1333	4000	2.8653
1.7842	2.24	4200	2.8693
1.8084	2.3467	4400	2.8705
1.7057	2.4533	4600	2.8779
1.8589	2.56	4800	2.8660
1.7983	2.6667	5000	2.8655
1.7421	2.7733	5200	2.8659
1.7648	2.88	5400	2.8664
1.8171	2.9867	5600	2.8664

Framework versions

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