|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_keras_callback |
|
|
model-index: |
|
|
- name: test-model |
|
|
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. --> |
|
|
|
|
|
# test-model |
|
|
|
|
|
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: 1.0322 |
|
|
- Validation Loss: 0.9818 |
|
|
- Train Rouge1: 63.3560 |
|
|
- Train Rouge2: 39.8622 |
|
|
- Train Rougel: 62.5870 |
|
|
- Train Rougelsum: 62.5573 |
|
|
- Epoch: 9 |
|
|
|
|
|
## 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 | Epoch | |
|
|
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----:| |
|
|
| 1.2033 | 1.1011 | 63.0488 | 39.8152 | 62.3015 | 62.2699 | 0 | |
|
|
| 1.1660 | 1.0732 | 63.6556 | 40.2704 | 62.8821 | 62.8498 | 1 | |
|
|
| 1.1394 | 1.0532 | 63.8815 | 40.5348 | 63.1276 | 63.0965 | 2 | |
|
|
| 1.1149 | 1.0386 | 64.2783 | 40.8596 | 63.5115 | 63.4840 | 3 | |
|
|
| 1.0969 | 1.0245 | 63.6975 | 40.1645 | 62.9323 | 62.8990 | 4 | |
|
|
| 1.0831 | 1.0122 | 63.7146 | 40.3383 | 62.9457 | 62.9173 | 5 | |
|
|
| 1.0678 | 1.0044 | 63.3129 | 39.9492 | 62.5462 | 62.5154 | 6 | |
|
|
| 1.0551 | 0.9949 | 62.5523 | 39.2999 | 61.7963 | 61.7831 | 7 | |
|
|
| 1.0417 | 0.9869 | 63.3126 | 40.0112 | 62.5606 | 62.5360 | 8 | |
|
|
| 1.0322 | 0.9818 | 63.3560 | 39.8622 | 62.5870 | 62.5573 | 9 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.25.1 |
|
|
- TensorFlow 2.9.2 |
|
|
- Datasets 2.8.0 |
|
|
- Tokenizers 0.13.2 |
|
|
|
