| --- |
| 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: [] |
| 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_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 |
| |
