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Jerteh355SENTNEG4

This model is a fine-tuned version of jerteh/Jerteh-355 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0624
  • F1: 0.5455

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 32

Training results

Training Loss Epoch Step Validation Loss F1
No log 0.9843 47 0.0500 0.5455
No log 1.9895 95 0.0525 0.5946
No log 2.9948 143 0.0513 0.5641
No log 4.0 191 0.0624 0.5455

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.2
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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