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mt5_epoch_1To6

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Accuracy: 0.0
  • Precision: 0.0
  • Recall: 0.0
  • F1: 0.0
  • Wer: 1.0
  • Cer: 1.0
  • Chrf: 0.0
  • Exact Match: 0.0
  • Bertscore:precision: 0.0
  • Bertscore:recall: 0.0
  • Bertscore:f1: 0.0
  • Ter: 100.0
  • Blerurt: -1.3889

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-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 Wer Cer Chrf Exact Match Bertscore:precision Bertscore:recall Bertscore:f1 Ter Blerurt
0.0 1.57 1000 nan 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 100.0 -1.3889
0.0 3.14 2000 nan 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 100.0 -1.3889
0.0 4.72 3000 nan 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 100.0 -1.3889

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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