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---
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
|