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Jerteh355SENTPOS0

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: 0.0346
  • F1: 0.6316

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 1.0 47 0.0225 0.4286
No log 2.0 94 0.0219 0.6667
No log 3.0 141 0.0311 0.5
No log 4.0 188 0.0373 0.625
No log 5.0 235 0.0346 0.6316

Framework versions

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