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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: PromptGenerator_5_topic_finetuned |
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results: [] |
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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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# PromptGenerator_5_topic_finetuned |
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This model is a fine-tuned version of [kmkarakaya/turkishReviews-ds](https://huggingface.co/kmkarakaya/turkishReviews-ds) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.6861 |
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- Train Sparse Categorical Accuracy: 0.8150 |
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- Validation Loss: 1.9777 |
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- Validation Sparse Categorical Accuracy: 0.7250 |
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- Epoch: 4 |
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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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
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| 3.0394 | 0.5171 | 2.7152 | 0.5841 | 0 | |
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| 2.5336 | 0.6247 | 2.4440 | 0.6318 | 1 | |
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| 2.2002 | 0.6958 | 2.2557 | 0.6659 | 2 | |
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| 1.9241 | 0.7608 | 2.1059 | 0.6932 | 3 | |
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| 1.6861 | 0.8150 | 1.9777 | 0.7250 | 4 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- TensorFlow 2.8.2 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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