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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-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-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: 0.0341 |
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- Train Accuracy: 1.0 |
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- Validation Loss: 1.5032 |
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- Validation Accuracy: 0.6667 |
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- Epoch: 16 |
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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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| 1.9295 | 0.4297 | 1.7895 | 0.4656 | 0 | |
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| 1.5562 | 0.5650 | 1.6742 | 0.4762 | 1 | |
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| 1.2099 | 0.6552 | 1.5047 | 0.5450 | 2 | |
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| 0.8859 | 0.7825 | 1.3883 | 0.6138 | 3 | |
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| 0.6078 | 0.8753 | 1.3384 | 0.5926 | 4 | |
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| 0.4276 | 0.9271 | 1.5709 | 0.5397 | 5 | |
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| 0.3208 | 0.9536 | 1.4246 | 0.6349 | 6 | |
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| 0.2201 | 0.9748 | 1.5447 | 0.6190 | 7 | |
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| 0.1663 | 0.9814 | 1.5030 | 0.6455 | 8 | |
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| 0.1302 | 0.9867 | 1.4468 | 0.6349 | 9 | |
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| 0.0990 | 0.9881 | 1.4503 | 0.6349 | 10 | |
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| 0.0812 | 0.9920 | 1.4135 | 0.6667 | 11 | |
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| 0.0655 | 0.9934 | 1.4341 | 0.6720 | 12 | |
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| 0.0560 | 0.9960 | 1.4613 | 0.6561 | 13 | |
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| 0.0468 | 0.9973 | 1.4622 | 0.6720 | 14 | |
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| 0.0403 | 0.9987 | 1.4927 | 0.6667 | 15 | |
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| 0.0341 | 1.0 | 1.5032 | 0.6667 | 16 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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