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---
license: mit
base_model: hung200504/bert-squadv2
tags:
- generated_from_trainer
model-index:
- name: bert-covid-21
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-covid-21
This model is a fine-tuned version of [hung200504/bert-squadv2](https://huggingface.co./hung200504/bert-squadv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6103
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2561 | 0.03 | 5 | 1.1801 |
| 1.1175 | 0.06 | 10 | 0.9406 |
| 1.2258 | 0.08 | 15 | 0.7456 |
| 0.8306 | 0.11 | 20 | 0.5948 |
| 0.5743 | 0.14 | 25 | 0.5835 |
| 0.4958 | 0.17 | 30 | 0.7125 |
| 0.4448 | 0.2 | 35 | 0.6664 |
| 0.8538 | 0.22 | 40 | 0.7098 |
| 0.8115 | 0.25 | 45 | 0.6869 |
| 0.9364 | 0.28 | 50 | 0.5814 |
| 1.0413 | 0.31 | 55 | 0.5434 |
| 0.7219 | 0.34 | 60 | 0.5274 |
| 0.6852 | 0.37 | 65 | 0.5764 |
| 0.4603 | 0.39 | 70 | 0.6586 |
| 0.8428 | 0.42 | 75 | 0.7742 |
| 0.3679 | 0.45 | 80 | 0.7430 |
| 1.0074 | 0.48 | 85 | 0.6630 |
| 0.8531 | 0.51 | 90 | 0.5403 |
| 0.4513 | 0.53 | 95 | 0.5452 |
| 0.3039 | 0.56 | 100 | 0.6193 |
| 1.7221 | 0.59 | 105 | 0.6734 |
| 0.8286 | 0.62 | 110 | 0.5892 |
| 0.6836 | 0.65 | 115 | 0.5413 |
| 0.2059 | 0.67 | 120 | 0.5407 |
| 0.8272 | 0.7 | 125 | 0.5446 |
| 0.3456 | 0.73 | 130 | 0.5652 |
| 1.1423 | 0.76 | 135 | 0.5697 |
| 0.2456 | 0.79 | 140 | 0.5737 |
| 0.7639 | 0.81 | 145 | 0.5767 |
| 0.5946 | 0.84 | 150 | 0.5565 |
| 0.0976 | 0.87 | 155 | 0.5857 |
| 0.3246 | 0.9 | 160 | 0.6162 |
| 1.039 | 0.93 | 165 | 0.6297 |
| 0.6297 | 0.96 | 170 | 0.6217 |
| 1.1724 | 0.98 | 175 | 0.6103 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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