---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_keras_callback
model-index:
- name: kaytoo2022/t5_technical_qa_with_react_2
  results: []
inference: true
library_name: transformers
pipeline_tag: text2text-generation
---

<!-- 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_2

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: 1.5754
- Validation Loss: 1.8786
- Epoch: 9

## 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 |
|:----------:|:---------------:|:-----:|
| 2.5639     | 2.2487          | 0     |
| 2.2752     | 2.1552          | 1     |
| 2.1253     | 2.0893          | 2     |
| 2.0155     | 2.0500          | 3     |
| 1.9230     | 2.0040          | 4     |
| 1.8434     | 1.9731          | 5     |
| 1.7722     | 1.9408          | 6     |
| 1.7102     | 1.9300          | 7     |
| 1.6478     | 1.8975          | 8     |
| 1.5754     | 1.8786          | 9     |


### Framework versions

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