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math-mistral-7b-r32

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metadata
license: apache-2.0
base_model: meta-math/MetaMath-Mistral-7B
tags:
  - generated_from_trainer
model-index:
  - name: math-mistral-7b-r32
    results: []

math-mistral-7b-r32

This model is a fine-tuned version of meta-math/MetaMath-Mistral-7B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4624

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: 2.55e-05
  • train_batch_size: 4
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.6354 0.21 1000 0.4892
0.5874 0.42 2000 0.4789
0.3006 0.63 3000 0.4694
0.2786 0.84 4000 0.4624

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.11.0
  • Tokenizers 0.14.1