File size: 2,069 Bytes
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license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-26
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-26
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: 6.8756
## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.1774 | 0.18 | 5 | 7.2847 |
| 6.9676 | 0.36 | 10 | 7.1874 |
| 6.9639 | 0.54 | 15 | 7.1658 |
| 6.821 | 0.71 | 20 | 7.1371 |
| 6.7658 | 0.89 | 25 | 7.1082 |
| 6.7752 | 1.07 | 30 | 7.0762 |
| 6.7502 | 1.25 | 35 | 7.0440 |
| 6.7292 | 1.43 | 40 | 7.0080 |
| 6.6645 | 1.61 | 45 | 6.9767 |
| 6.6253 | 1.79 | 50 | 6.9528 |
| 6.6661 | 1.96 | 55 | 6.9324 |
| 6.6808 | 2.14 | 60 | 6.9133 |
| 6.692 | 2.32 | 65 | 6.8985 |
| 6.5486 | 2.5 | 70 | 6.8864 |
| 6.5355 | 2.68 | 75 | 6.8789 |
| 6.5888 | 2.86 | 80 | 6.8756 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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