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Joash2024/
Math-SmolLM2-1.7B

Name: Math-SmolLM2-1.7B
Availability: InStock

peft

safetensors

generated_from_trainer

HuggingFaceTB/SmolLM2-1.7B-Instruct

adapter

apache-2.0

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Math-SmolLM2-1.7B

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0102

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0174	0.2	100	0.0146
0.0122	0.4	200	0.0117
0.0108	0.6	300	0.0106
0.0101	0.8	400	0.0103
0.0101	1.0	500	0.0102

Framework versions

PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Joash2024/Math-SmolLM2-1.7B

Math-SmolLM2-1.7B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Joash2024/
Math-SmolLM2-1.7B