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metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
    results: []

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: 5.1769
  • Validation Loss: 4.5958
  • Train Bleu: 0.0
  • Train Gen Len: 127.0
  • Epoch: 16

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

Framework versions

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