metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: pakawadeep/mt5-small-finetuned-ctfl-augmented_05
    results: []

pakawadeep/mt5-small-finetuned-ctfl-augmented_05

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: 9.2952
Validation Loss: 2.6353
Train Rouge1: 1.5618
Train Rouge2: 0.0
Train Rougel: 1.5117
Train Rougelsum: 1.5288
Train Gen Len: 16.5347
Epoch: 0

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 Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
9.2952	2.6353	1.5618	0.0	1.5117	1.5288	16.5347	0

Framework versions

Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1