finetune-smolLM2-360M

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.7585

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: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7017	0.0871	50	2.8763
2.6474	0.1743	100	2.8244
2.5094	0.2614	150	2.8044
2.6284	0.3486	200	2.7901
2.7183	0.4357	250	2.7798
2.6457	0.5229	300	2.7732
2.7641	0.6100	350	2.7691
2.6276	0.6972	400	2.7661
2.7211	0.7843	450	2.7639
2.6556	0.8715	500	2.7603
2.7031	0.9586	550	2.7587

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0