translation_score2

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2729

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.4668 0.1937 500 1.3084
1.3065 0.3874 1000 1.2897
1.2896 0.5812 1500 1.2808
1.2801 0.7749 2000 1.2753
1.2802 0.9686 2500 1.2729

Framework versions

  • PEFT 0.12.0
  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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