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

Loss: 0.0773

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: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.0525	0.4167	500	0.8982
0.7758	0.8333	1000	0.6485
0.4848	1.25	1500	0.4354
0.2891	1.6667	2000	0.2627
0.1646	2.0833	2500	0.1497
0.0817	2.5	3000	0.1007
0.0614	2.9167	3500	0.0773

Framework versions

Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3

GawdSB/story_model

story_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GawdSB/
story_model