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