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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ashhadahsan/amazon-theme-bert-base-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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# ashhadahsan/amazon-theme-bert-base-finetuned |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0127 |
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- Train Accuracy: 0.9915 |
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- Validation Loss: 0.8057 |
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- Validation Accuracy: 0.8722 |
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- Epoch: 29 |
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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', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 1.3910 | 0.5974 | 0.8022 | 0.8008 | 0 | |
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| 0.2739 | 0.9554 | 0.6211 | 0.8609 | 1 | |
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| 0.0782 | 0.9885 | 0.5895 | 0.8609 | 2 | |
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| 0.0418 | 0.9913 | 0.5456 | 0.8797 | 3 | |
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| 0.0318 | 0.9908 | 0.5729 | 0.8797 | 4 | |
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| 0.0251 | 0.9906 | 0.5747 | 0.8797 | 5 | |
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| 0.0211 | 0.9913 | 0.5994 | 0.8797 | 6 | |
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| 0.0195 | 0.9906 | 0.6241 | 0.8797 | 7 | |
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| 0.0184 | 0.9911 | 0.6244 | 0.8797 | 8 | |
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| 0.0170 | 0.9904 | 0.6235 | 0.8797 | 9 | |
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| 0.0159 | 0.9913 | 0.6619 | 0.8797 | 10 | |
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| 0.0164 | 0.9913 | 0.6501 | 0.8797 | 11 | |
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| 0.0165 | 0.9911 | 0.6452 | 0.8835 | 12 | |
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| 0.0155 | 0.9908 | 0.6727 | 0.8872 | 13 | |
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| 0.0149 | 0.9904 | 0.6798 | 0.8835 | 14 | |
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| 0.0144 | 0.9906 | 0.6905 | 0.8797 | 15 | |
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| 0.0142 | 0.9923 | 0.7089 | 0.8797 | 16 | |
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| 0.0140 | 0.9923 | 0.7335 | 0.8722 | 17 | |
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| 0.0138 | 0.9915 | 0.7297 | 0.8722 | 18 | |
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| 0.0143 | 0.9908 | 0.7030 | 0.8759 | 19 | |
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| 0.0140 | 0.9906 | 0.7420 | 0.8759 | 20 | |
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| 0.0134 | 0.9915 | 0.7419 | 0.8759 | 21 | |
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| 0.0134 | 0.9913 | 0.7448 | 0.8835 | 22 | |
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| 0.0132 | 0.9915 | 0.7791 | 0.8722 | 23 | |
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| 0.0131 | 0.9923 | 0.7567 | 0.8797 | 24 | |
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| 0.0134 | 0.9915 | 0.7809 | 0.8797 | 25 | |
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| 0.0125 | 0.9925 | 0.7941 | 0.8797 | 26 | |
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| 0.0126 | 0.9923 | 0.7943 | 0.8759 | 27 | |
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| 0.0126 | 0.9915 | 0.8071 | 0.8797 | 28 | |
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| 0.0127 | 0.9915 | 0.8057 | 0.8722 | 29 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Tokenizers 0.13.3 |
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