This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5122

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: 64
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.5988	0.4819	1000	1.6036
1.5668	0.9639	2000	1.5508
1.5337	1.4458	3000	1.5326
1.5210	1.9277	4000	1.5227
1.5078	2.4096	5000	1.5176
1.5247	2.8916	6000	1.5157
1.5034	3.3735	7000	1.5140
1.5273	3.8554	8000	1.5137
1.5209	4.3373	9000	1.5127
1.5108	4.8193	10000	1.5123
1.5134	5.3012	11000	1.5123
1.5131	5.7831	12000	1.5124
1.5197	6.2651	13000	1.5122
1.5254	6.7470	14000	1.5122
1.5139	7.2289	15000	1.5120
1.5068	7.7108	16000	1.5122
1.5128	8.1928	17000	1.5121
1.5168	8.6747	18000	1.5122

Framework versions

Transformers 5.5.4
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2

mazesmazes/tiny-turn

tiny-turn

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mazesmazes/
tiny-turn