metadata

tags:
  - generated_from_keras_callback
model-index:
  - name: assamim/mt5-pukulenam-summarization
    results: []

assamim/mt5-pukulenam-summarization

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 1.7639
Validation Loss: 1.8188
Train Rouge1: 36.5639
Train Rouge2: 17.0888
Train Rougel: 31.0462
Train Rougelsum: 31.1825
Train Gen Len: 30.735
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
1.7639	1.8188	36.5639	17.0888	31.0462	31.1825	30.735	0

Framework versions

Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1