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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
|