|
--- |
|
license: apache-2.0 |
|
base_model: t5-small |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: hasan-mr/t5-small-finetuned-summarization-billsum-v1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# hasan-mr/t5-small-finetuned-summarization-billsum-v1 |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 2.5716 |
|
- Validation Loss: 2.3842 |
|
- Train Rougel: tf.Tensor(0.13416424, shape=(), dtype=float32) |
|
- Epoch: 3 |
|
|
|
## 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: mixed_float16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Train Rougel | Epoch | |
|
|:----------:|:---------------:|:-----------------------------------------------:|:-----:| |
|
| 3.3695 | 2.7228 | tf.Tensor(0.10740497, shape=(), dtype=float32) | 0 | |
|
| 2.8189 | 2.5337 | tf.Tensor(0.11091911, shape=(), dtype=float32) | 1 | |
|
| 2.6657 | 2.4427 | tf.Tensor(0.124923535, shape=(), dtype=float32) | 2 | |
|
| 2.5716 | 2.3842 | tf.Tensor(0.13416424, shape=(), dtype=float32) | 3 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- TensorFlow 2.14.0 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
