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distilled_chat_math

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metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: distilled_chat_math
    results: []

distilled_chat_math

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