This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1308

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: 3e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1408	1.3378	500	0.1368
0.1268	2.6756	1000	0.1308

Framework versions

Transformers 4.45.2
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3

niteshagarwala/distilled_chat_math

distilled_chat_math

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

niteshagarwala/
distilled_chat_math