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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: MariaZafar/bert-base-cased-finetuned-wikitext2 |
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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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# MariaZafar/bert-base-cased-finetuned-wikitext2 |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 3.9493 |
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- Validation Loss: 4.7051 |
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- Epoch: 49 |
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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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 8.2068 | 7.6525 | 0 | |
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| 6.6638 | 6.6271 | 1 | |
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| 5.8170 | 6.1477 | 2 | |
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| 5.3501 | 5.3407 | 3 | |
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| 5.0362 | 5.4742 | 4 | |
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| 4.8317 | 5.1391 | 5 | |
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| 4.7290 | 5.4559 | 6 | |
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| 4.6790 | 5.0211 | 7 | |
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| 4.5944 | 5.2506 | 8 | |
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| 4.5684 | 4.8315 | 9 | |
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| 4.4865 | 5.1707 | 10 | |
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| 4.4708 | 4.8314 | 11 | |
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| 4.3995 | 5.3617 | 12 | |
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| 4.3861 | 5.2180 | 13 | |
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| 4.3372 | 4.7870 | 14 | |
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| 4.3451 | 5.3501 | 15 | |
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| 4.3038 | 4.8667 | 16 | |
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| 4.2838 | 5.2157 | 17 | |
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| 4.2933 | 5.2800 | 18 | |
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| 4.2698 | 5.2693 | 19 | |
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| 4.2178 | 5.1873 | 20 | |
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| 4.2222 | 5.0830 | 21 | |
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| 4.2031 | 4.5132 | 22 | |
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| 4.1933 | 5.3241 | 23 | |
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| 4.2139 | 4.7762 | 24 | |
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| 4.1444 | 4.7879 | 25 | |
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| 4.1353 | 5.0958 | 26 | |
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| 4.1227 | 5.2084 | 27 | |
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| 4.1253 | 4.8306 | 28 | |
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| 4.1134 | 5.2234 | 29 | |
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| 4.1084 | 4.9941 | 30 | |
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| 4.1097 | 4.9499 | 31 | |
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| 4.1208 | 4.9498 | 32 | |
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| 4.0924 | 5.0711 | 33 | |
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| 4.0825 | 4.9263 | 34 | |
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| 4.0774 | 4.8652 | 35 | |
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| 4.0702 | 4.8445 | 36 | |
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| 4.0816 | 4.2916 | 37 | |
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| 4.0420 | 4.7277 | 38 | |
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| 4.0456 | 4.9395 | 39 | |
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| 4.0873 | 4.9632 | 40 | |
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| 4.0295 | 4.6388 | 41 | |
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| 4.0228 | 4.8170 | 42 | |
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| 4.0393 | 4.4831 | 43 | |
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| 4.0249 | 4.8268 | 44 | |
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| 3.9565 | 4.7934 | 45 | |
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| 3.9567 | 4.5622 | 46 | |
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| 4.0054 | 4.8992 | 47 | |
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| 3.9582 | 4.8162 | 48 | |
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| 3.9493 | 4.7051 | 49 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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