pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k

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

  • Train Loss: 4.4260
  • Validation Loss: 4.1643
  • Train Bleu: 0.0
  • Train Gen Len: 127.0
  • Epoch: 29

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Bleu Train Gen Len Epoch
18.4580 9.0813 0.0013 3.0 0
10.6168 8.0760 0.0008 50.0 1
8.9972 7.4303 0.0003 127.0 2
8.2615 7.1119 0.0010 3.0 3
7.8727 6.9450 0.0 2.0 4
7.6314 6.8080 0.0 2.0 5
7.4404 6.6029 0.0 2.0 6
7.2126 6.2358 0.0003 127.0 7
6.9077 5.6784 0.0003 127.0 8
6.5300 5.3165 0.0003 127.0 9
6.2332 5.0961 0.0003 127.0 10
5.9571 4.9619 0.0003 127.0 11
5.7344 4.8588 0.0 7.0 12
5.5347 4.7700 0.0 127.0 13
5.4059 4.7055 0.0005 127.0 14
5.2839 4.6485 0.0004 127.0 15
5.1769 4.5958 0.0 127.0 16
5.0864 4.5455 0.0 127.0 17
5.0025 4.5005 0.0 127.0 18
4.9161 4.4589 0.6412 127.0 19
4.8523 4.4206 0.8846 127.0 20
4.7860 4.3832 0.0 10.0 21
4.7340 4.3479 0.0 10.0 22
4.6707 4.3200 0.0 10.0 23
4.6181 4.2951 0.0 10.0 24
4.5780 4.2621 0.0 14.0 25
4.5309 4.2380 0.0 127.0 26
4.4944 4.2097 5.1292 29.0 27
4.4613 4.1865 0.0 127.0 28
4.4260 4.1643 0.0 127.0 29

Framework versions

  • Transformers 4.44.2
  • TensorFlow 2.17.0
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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