|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-xl |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: t5-xl-trivia-gpu-qa2a |
|
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-xl-trivia-gpu-qa2a |
|
|
|
This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 2.3128 |
|
- Validation Loss: 2.4177 |
|
- Epoch: 0 |
|
|
|
<pre>{'eval_loss': 2.4550280570983887, |
|
'eval_bleu': 8.632073673720834, |
|
'eval_rouge1': 20.88, |
|
'eval_rouge2': 7.39, |
|
'eval_rougeL': 19.41, |
|
'eval_rougeLsum': 19.41, |
|
'eval_exact': 0.005216324025774778, |
|
'eval_runtime': 781.5544, |
|
'eval_samples_per_second': 16.68, |
|
'eval_steps_per_second': 2.086}</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': True, 'is_legacy_optimizer': False, 'learning_rate': 0.0002, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False} |
|
- training_precision: mixed_bfloat16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 2.3128 | 2.4177 | 0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- TensorFlow 2.13.0 |
|
- Datasets 2.14.3 |
|
- Tokenizers 0.13.3 |
|
|
