llm_finetune / README.md
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Training in progress epoch 7
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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: Theosphil/llm_finetune
    results: []

Theosphil/llm_finetune

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: 4.1960
  • Validation Loss: 3.4139
  • Epoch: 7

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': 9672, '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: mixed_float16

Training results

Train Loss Validation Loss Epoch
10.5150 4.8716 0
6.3881 3.9782 1
5.4626 3.6689 2
4.9547 3.5794 3
4.6427 3.5089 4
4.4250 3.4555 5
4.2916 3.4275 6
4.1960 3.4139 7

Framework versions

  • Transformers 4.32.1
  • TensorFlow 2.12.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3