MUmairAB's picture
Training in progress epoch 9
9d08180
metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: MUmairAB/mt5-small-finetuned-en-and-es
    results: []

MUmairAB/mt5-small-finetuned-en-and-es

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: 3.8111
  • Validation Loss: 3.3450
  • Epoch: 9

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 12090, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
9.8080 4.2830 0
5.9101 3.8003 1
5.1453 3.6062 2
4.7005 3.5052 3
4.4095 3.4904 4
4.2204 3.3996 5
4.0501 3.3842 6
3.9260 3.3963 7
3.8527 3.3267 8
3.8111 3.3450 9

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.12.0
  • Datasets 2.14.0
  • Tokenizers 0.13.3