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---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-30
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-30
This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.0923
## 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:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3132 | 0.09 | 5 | 12.3056 |
| 11.4114 | 0.18 | 10 | 12.2307 |
| 10.9764 | 0.27 | 15 | 12.1584 |
| 11.0818 | 0.36 | 20 | 12.0885 |
| 11.0423 | 0.45 | 25 | 12.0202 |
| 11.0449 | 0.55 | 30 | 11.9548 |
| 10.3108 | 0.64 | 35 | 11.8919 |
| 10.9207 | 0.73 | 40 | 11.8320 |
| 10.4606 | 0.82 | 45 | 11.7743 |
| 10.3376 | 0.91 | 50 | 11.7188 |
| 10.091 | 1.0 | 55 | 11.6658 |
| 10.2796 | 1.09 | 60 | 11.6154 |
| 10.3783 | 1.18 | 65 | 11.5677 |
| 10.5827 | 1.27 | 70 | 11.5216 |
| 10.1084 | 1.36 | 75 | 11.4785 |
| 10.5279 | 1.45 | 80 | 11.4372 |
| 10.2497 | 1.55 | 85 | 11.3984 |
| 10.1908 | 1.64 | 90 | 11.3618 |
| 10.0181 | 1.73 | 95 | 11.3275 |
| 10.2313 | 1.82 | 100 | 11.2956 |
| 9.7781 | 1.91 | 105 | 11.2663 |
| 10.1123 | 2.0 | 110 | 11.2391 |
| 10.0491 | 2.09 | 115 | 11.2141 |
| 9.869 | 2.18 | 120 | 11.1916 |
| 10.0292 | 2.27 | 125 | 11.1714 |
| 10.1515 | 2.36 | 130 | 11.1534 |
| 9.7539 | 2.45 | 135 | 11.1377 |
| 10.1323 | 2.55 | 140 | 11.1242 |
| 9.6956 | 2.64 | 145 | 11.1136 |
| 10.1937 | 2.73 | 150 | 11.1050 |
| 9.9615 | 2.82 | 155 | 11.0983 |
| 9.9249 | 2.91 | 160 | 11.0940 |
| 10.1271 | 3.0 | 165 | 11.0923 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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