---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_keras_callback
model-index:
- name: kaytoo2022/t5_technical_qa_with_react_3
  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. -->

# kaytoo2022/t5_technical_qa_with_react_3

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1006
- Validation Loss: 1.6608
- Epoch: 19

## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.5832     | 2.2541          | 0     |
| 2.2701     | 2.1489          | 1     |
| 2.1253     | 2.0771          | 2     |
| 2.0259     | 2.0242          | 3     |
| 1.9282     | 1.9847          | 4     |
| 1.8461     | 1.9378          | 5     |
| 1.7743     | 1.9069          | 6     |
| 1.7029     | 1.8796          | 7     |
| 1.6345     | 1.8492          | 8     |
| 1.5830     | 1.8286          | 9     |
| 1.5227     | 1.8002          | 10    |
| 1.4597     | 1.7731          | 11    |
| 1.4119     | 1.7558          | 12    |
| 1.3577     | 1.7440          | 13    |
| 1.3038     | 1.7274          | 14    |
| 1.2705     | 1.7083          | 15    |
| 1.2188     | 1.6981          | 16    |
| 1.1836     | 1.6850          | 17    |
| 1.1456     | 1.6737          | 18    |
| 1.1006     | 1.6608          | 19    |


### Framework versions

- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1