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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: kaytoo2022/t5_technical_qa_with_react |
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results: [] |
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inference: true |
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library_name: transformers |
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pipeline_tag: text2text-generation |
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widget: |
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- text: >- |
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summarize: function Example() { |
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let [isLoading, setIsLoading] = React.useState(false); |
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let handlePress = () => { |
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// Trigger button pending state |
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setIsLoading(true); |
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setTimeout(() => { |
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// Cancel button pending state |
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setIsLoading(false); |
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}, 3000); |
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}; |
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return ( |
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<Button variant="primary" isPending={isLoading} onPress={handlePress}> |
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Click me! |
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</Button> |
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); |
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} |
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example_title: Question answering |
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- text: >- |
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question: What does the setTimeout function do? context: function Example() { |
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let [isLoading, setIsLoading] = React.useState(false); |
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let handlePress = () => { |
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// Trigger button pending state |
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setIsLoading(true); |
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|
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setTimeout(() => { |
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// Cancel button pending state |
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setIsLoading(false); |
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}, 3000); |
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}; |
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return ( |
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<Button variant="primary" isPending={isLoading} onPress={handlePress}> |
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Click me! |
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</Button> |
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); |
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} |
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example_title: Summarization |
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|
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--- |
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|
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# kaytoo2022/t5_technical_qa_with_react |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.0191 |
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- Validation Loss: 2.0546 |
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- Epoch: 3 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 2.5717 | 2.2548 | 0 | |
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| 2.2680 | 2.1607 | 1 | |
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| 2.1248 | 2.1008 | 2 | |
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| 2.0191 | 2.0546 | 3 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- TensorFlow 2.17.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
