---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_keras_callback
model-index:
- name: kaytoo2022/t5_technical_qa_codet5_tokenizer
  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_codet5_tokenizer

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: 0.6959
- Validation Loss: 2.6033
- 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': 0.0002, '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 |
|:----------:|:---------------:|:-----:|
| 3.9033     | 3.4115          | 0     |
| 3.1530     | 3.0668          | 1     |
| 2.6561     | 2.8018          | 2     |
| 2.2084     | 2.6603          | 3     |
| 1.8253     | 2.5558          | 4     |
| 1.5026     | 2.4479          | 5     |
| 1.2387     | 2.4164          | 6     |
| 1.0228     | 2.5312          | 7     |
| 0.8322     | 2.5353          | 8     |
| 0.6959     | 2.6033          | 9     |


### Framework versions

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