| --- |
| license: apache-2.0 |
| base_model: veriga/distilbert-base-uncased-finetuned-cola |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: veriga |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # veriga |
|
|
| This model is a fine-tuned version of [veriga/distilbert-base-uncased-finetuned-cola](https://huggingface.co/veriga/distilbert-base-uncased-finetuned-cola) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 1.9335 |
| - Train Sparse Categorical Accuracy: 0.4537 |
| - Validation Loss: 1.9743 |
| - Validation Sparse Categorical Accuracy: 0.4488 |
| - Epoch: 2 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| - training_precision: float32 |
|
|
| ### Training results |
|
|
| | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
| |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
| | 1.9359 | 0.4543 | 1.9947 | 0.4505 | 0 | |
| | 1.9330 | 0.4547 | 1.9796 | 0.4514 | 1 | |
| | 1.9335 | 0.4537 | 1.9743 | 0.4488 | 2 | |
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| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - TensorFlow 2.8.2 |
| - Datasets 2.2.2 |
| - Tokenizers 0.15.0 |
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|
