|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-small |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: t5-small-trivia-v2-ca2q |
|
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. --> |
|
|
|
# t5-small-trivia-v2-ca2q |
|
|
|
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.3095 |
|
- Validation Loss: 0.3903 |
|
- Epoch: 3 |
|
|
|
<pre> |
|
{'eval_loss': 1.3911314010620117, |
|
'eval_bleu': 17.919726187841192, |
|
'eval_rouge1': 54.15, |
|
'eval_rouge2': 31.12, |
|
'eval_rougeL': 47.29, |
|
'eval_rougeLsum': 47.32, |
|
'eval_exact': 0.020600524730346906, |
|
'eval_runtime': 104.3595, |
|
'eval_samples_per_second': 98.611, |
|
'eval_steps_per_second': 3.085} |
|
</pre> |
|
|
|
## 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': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.6099 | 0.4054 | 0 | |
|
| 0.3919 | 0.3899 | 1 | |
|
| 0.3451 | 0.3880 | 2 | |
|
| 0.3095 | 0.3903 | 3 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.14.3 |
|
- Tokenizers 0.13.3 |
|
|