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news_classification

This model is a fine-tuned version of tiiuae/falcon-11B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5745
  • Balanced Accuracy: 0.2502
  • Accuracy: 0.255

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: 0.0001
  • 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
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Balanced Accuracy Accuracy
1.9368 1.0 25 1.7709 0.2244 0.24
1.4906 2.0 50 1.6275 0.2489 0.26
1.2288 3.0 75 1.5745 0.2502 0.255

Framework versions

  • PEFT 0.11.1
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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