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End of training
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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: text-translit-detector-ru
    results: []

text-translit-detector-ru

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0102
  • Mean Distance: 0
  • Max Distance: 1

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Mean Distance Max Distance
0.2779 1.0 1050 0.3371 0 1
0.0346 2.0 2100 0.0173 0 1
0.0072 3.0 3150 0.0077 0 1
0.0057 4.0 4200 0.0093 0 1
0.005 5.0 5250 0.0053 0 1
0.002 6.0 6300 0.0056 0 1
0.002 7.0 7350 0.0091 0 1
0.0018 8.0 8400 0.0010 0 0
0.0044 9.0 9450 0.0043 0 1
0.0024 10.0 10500 0.0048 0 1
0.0032 11.0 11550 0.0023 0 1
0.0028 12.0 12600 0.0003 0 0
0.0005 13.0 13650 0.0008 0 0
0.0026 14.0 14700 0.0012 0 1
0.0011 15.0 15750 0.0171 0 1
0.0 16.0 16800 0.0120 0 1
0.0001 17.0 17850 0.0031 0 1
0.0007 18.0 18900 0.0165 0 1
0.001 19.0 19950 0.0194 0 1
0.0001 20.0 21000 0.0102 0 1

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1