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metadata
base_model: hllj/Mistral-7B-Vi-Math
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: sft-mistral-7b-vi-math-v1-clean-valid
    results: []
library_name: peft

sft-mistral-7b-vi-math-v1-clean-valid

This model is a fine-tuned version of hllj/Mistral-7B-Vi-Math on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4370

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: 4
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.2954 1.04 1000 0.4506

Framework versions

  • PEFT 0.5.0
  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.16.0
  • Tokenizers 0.15.0