---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Flan
  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. -->

# Flan

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: 1.1764
- Validation Loss: 0.9237
- Epoch: 24

## 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': 'Adam', '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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.6824     | 1.3619          | 0     |
| 1.5733     | 1.3030          | 1     |
| 1.5199     | 1.2730          | 2     |
| 1.4833     | 1.2379          | 3     |
| 1.4591     | 1.2201          | 4     |
| 1.4278     | 1.1945          | 5     |
| 1.4101     | 1.1755          | 6     |
| 1.3870     | 1.1561          | 7     |
| 1.3740     | 1.1366          | 8     |
| 1.3559     | 1.1163          | 9     |
| 1.3420     | 1.1007          | 10    |
| 1.3265     | 1.0871          | 11    |
| 1.3082     | 1.0708          | 12    |
| 1.2984     | 1.0586          | 13    |
| 1.2832     | 1.0429          | 14    |
| 1.2724     | 1.0305          | 15    |
| 1.2634     | 1.0170          | 16    |
| 1.2486     | 1.0090          | 17    |
| 1.2375     | 0.9901          | 18    |
| 1.2259     | 0.9760          | 19    |
| 1.2128     | 0.9659          | 20    |
| 1.2038     | 0.9556          | 21    |
| 1.1965     | 0.9446          | 22    |
| 1.1833     | 0.9369          | 23    |
| 1.1764     | 0.9237          | 24    |


### Framework versions

- Transformers 4.32.0
- TensorFlow 2.13.0
- Datasets 2.14.4
- Tokenizers 0.12.1