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humor_classification_mistral

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5774

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
1.353 0.1923 10 1.1693
1.1391 0.3846 20 1.0883
1.0853 0.5769 30 1.0559
1.0487 0.7692 40 1.0024
0.8044 0.9615 50 0.6411
0.639 1.1538 60 0.6102
0.5972 1.3462 70 0.5955
0.584 1.5385 80 0.5854
0.5802 1.7308 90 0.5794
0.573 1.9231 100 0.5774

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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