mixtral_niki_3

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4987

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: 2.5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.03
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.5491 0.4348 10 1.5602
1.5241 0.8696 20 1.5438
1.4999 1.3043 30 1.5274
1.4915 1.7391 40 1.5139
1.4987 2.1739 50 1.5043
1.4681 2.6087 60 1.4987

Framework versions

  • PEFT 0.11.0
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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