metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_keras_callback
model-index:
- name: AbdulrahmanAhmed/t5-small-for-summarization
results: []
AbdulrahmanAhmed/t5-small-for-summarization
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.0079
- Validation Loss: 2.5231
- Train Rouge1: 0.5435
- Train Rouge2: 0.2961
- Train Rougel: 0.4938
- Train Rougelsum: 0.4938
- Train Gen Len: 64.0
- 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 |
---|---|---|---|---|---|---|---|
3.0079 | 2.5231 | 0.5435 | 0.2961 | 0.4938 | 0.4938 | 64.0 | 0 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Tokenizers 0.19.1