|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-large |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: t5-large-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-large-trivia-v2-ca2q |
|
|
|
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.1879 |
|
- Validation Loss: 0.3243 |
|
- Epoch: 2 |
|
|
|
<pre> |
|
{'eval_loss': 1.0877012014389038, |
|
'eval_bleu': 21.018623207468856, |
|
'eval_rouge1': 58.42, |
|
'eval_rouge2': 35.27, |
|
'eval_rougeL': 51.13, |
|
'eval_rougeLsum': 51.15, |
|
'eval_exact': 0.02536196676707803, |
|
'eval_runtime': 346.7508, |
|
'eval_samples_per_second': 29.678, |
|
'eval_steps_per_second': 0.929} |
|
</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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.4719 | 0.3053 | 0 | |
|
| 0.2556 | 0.3032 | 1 | |
|
| 0.1879 | 0.3243 | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- TensorFlow 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
