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mistral_channel_targeter

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

  • Loss: 0.0708

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: 5e-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 3
  • total_train_batch_size: 24
  • total_eval_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
0.0526 1.0 159 0.0547
0.0421 2.0 318 0.0447
0.0285 3.0 477 0.0385
0.0165 4.0 636 0.0465
0.0021 5.0 795 0.0659
0.0008 6.0 954 0.0708

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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