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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: cakiki/distilbert-base-uncased-finetuned-tweet-sentiment |
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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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# cakiki/distilbert-base-uncased-finetuned-tweet-sentiment |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1025 |
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- Train Sparse Categorical Accuracy: 0.9511 |
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- Validation Loss: 0.1455 |
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- Validation Sparse Categorical Accuracy: 0.9365 |
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- Epoch: 2 |
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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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| 0.5409 | 0.8158 | 0.2115 | 0.9265 | 0 | |
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| 0.1442 | 0.9373 | 0.1411 | 0.9380 | 1 | |
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| 0.1025 | 0.9511 | 0.1455 | 0.9365 | 2 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.9.0-rc0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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