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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cuad
base_model: google/bert_uncased_L-4_H-512_A-8
model-index:
- name: bert-small-finetuned-cuad-longer
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-small-finetuned-cuad-longer
This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the cuad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0617
## 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: 2e-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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0601 | 1.0 | 8702 | 0.0404 |
| 0.0551 | 2.0 | 17404 | 0.0394 |
| 0.0428 | 3.0 | 26106 | 0.0481 |
| 0.0375 | 4.0 | 34808 | 0.0425 |
| 0.0403 | 5.0 | 43510 | 0.0551 |
| 0.0246 | 6.0 | 52212 | 0.0588 |
| 0.0284 | 7.0 | 60914 | 0.0557 |
| 0.0303 | 8.0 | 69616 | 0.0543 |
| 0.0239 | 9.0 | 78318 | 0.0634 |
| 0.0207 | 10.0 | 87020 | 0.0617 |
### Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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