SmolLM2-FT-MyDataset

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: 1.0215

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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
1.0715	0.0885	50	1.1590
1.1176	0.1770	100	1.1241
1.0683	0.2655	150	1.0955
1.0537	0.3540	200	1.0797
1.0467	0.4425	250	1.0705
1.0347	0.5310	300	1.0615
1.0088	0.6195	350	1.0548
1.0121	0.7080	400	1.0508
1.0266	0.7965	450	1.0426
1.0817	0.8850	500	1.0337
0.9961	0.9735	550	1.0283
0.8062	1.0619	600	1.0331
0.8166	1.1504	650	1.0299
0.7581	1.2389	700	1.0311
0.8606	1.3274	750	1.0285
0.8147	1.4159	800	1.0249
0.781	1.5044	850	1.0253
0.8281	1.5929	900	1.0228
0.8669	1.6814	950	1.0217
0.7959	1.7699	1000	1.0215

Framework versions

• Transformers 4.44.2
• Pytorch 2.8.0+cu126
• Datasets 4.2.0
• Tokenizers 0.19.1