metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: saintrivers/summarization-tutorial
results: []
saintrivers/summarization-tutorial
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.7072
- Validation Loss: 2.5200
- Epoch: 2
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 | Epoch |
---|---|---|
2.9160 | 2.5914 | 0 |
2.7621 | 2.5448 | 1 |
2.7072 | 2.5200 | 2 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 2.21.0
- Tokenizers 0.19.1