|
--- |
|
license: apache-2.0 |
|
base_model: t5-small |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: arthd24/wanderwise_summary_1 |
|
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. --> |
|
|
|
# arthd24/wanderwise_summary_1 |
|
|
|
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: 0.7830 |
|
- Validation Loss: 0.6959 |
|
- Train Rouge1: 0.353 |
|
- Train Rouge2: 0.2719 |
|
- Train Rougel: 0.335 |
|
- Train Rougelsum: 0.3351 |
|
- Train Gen Len: 19.0 |
|
- Epoch: 4 |
|
|
|
## 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 | |
|
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
|
| 1.0492 | 0.7886 | 0.35 | 0.269 | 0.3321 | 0.3319 | 19.0 | 0 | |
|
| 0.8843 | 0.7467 | 0.3511 | 0.2697 | 0.333 | 0.3326 | 19.0 | 1 | |
|
| 0.8329 | 0.7228 | 0.3521 | 0.2707 | 0.3339 | 0.3337 | 19.0 | 2 | |
|
| 0.8078 | 0.7143 | 0.3519 | 0.271 | 0.334 | 0.3338 | 19.0 | 3 | |
|
| 0.7830 | 0.6959 | 0.353 | 0.2719 | 0.335 | 0.3351 | 19.0 | 4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- TensorFlow 2.14.0 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
