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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaZafar/bert-base-cased-finetuned-wikitext2
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. -->
# MariaZafar/bert-base-cased-finetuned-wikitext2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.9493
- Validation Loss: 4.7051
- Epoch: 49
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 8.2068 | 7.6525 | 0 |
| 6.6638 | 6.6271 | 1 |
| 5.8170 | 6.1477 | 2 |
| 5.3501 | 5.3407 | 3 |
| 5.0362 | 5.4742 | 4 |
| 4.8317 | 5.1391 | 5 |
| 4.7290 | 5.4559 | 6 |
| 4.6790 | 5.0211 | 7 |
| 4.5944 | 5.2506 | 8 |
| 4.5684 | 4.8315 | 9 |
| 4.4865 | 5.1707 | 10 |
| 4.4708 | 4.8314 | 11 |
| 4.3995 | 5.3617 | 12 |
| 4.3861 | 5.2180 | 13 |
| 4.3372 | 4.7870 | 14 |
| 4.3451 | 5.3501 | 15 |
| 4.3038 | 4.8667 | 16 |
| 4.2838 | 5.2157 | 17 |
| 4.2933 | 5.2800 | 18 |
| 4.2698 | 5.2693 | 19 |
| 4.2178 | 5.1873 | 20 |
| 4.2222 | 5.0830 | 21 |
| 4.2031 | 4.5132 | 22 |
| 4.1933 | 5.3241 | 23 |
| 4.2139 | 4.7762 | 24 |
| 4.1444 | 4.7879 | 25 |
| 4.1353 | 5.0958 | 26 |
| 4.1227 | 5.2084 | 27 |
| 4.1253 | 4.8306 | 28 |
| 4.1134 | 5.2234 | 29 |
| 4.1084 | 4.9941 | 30 |
| 4.1097 | 4.9499 | 31 |
| 4.1208 | 4.9498 | 32 |
| 4.0924 | 5.0711 | 33 |
| 4.0825 | 4.9263 | 34 |
| 4.0774 | 4.8652 | 35 |
| 4.0702 | 4.8445 | 36 |
| 4.0816 | 4.2916 | 37 |
| 4.0420 | 4.7277 | 38 |
| 4.0456 | 4.9395 | 39 |
| 4.0873 | 4.9632 | 40 |
| 4.0295 | 4.6388 | 41 |
| 4.0228 | 4.8170 | 42 |
| 4.0393 | 4.4831 | 43 |
| 4.0249 | 4.8268 | 44 |
| 3.9565 | 4.7934 | 45 |
| 3.9567 | 4.5622 | 46 |
| 4.0054 | 4.8992 | 47 |
| 3.9582 | 4.8162 | 48 |
| 3.9493 | 4.7051 | 49 |
### Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
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