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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
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-base-uncased-issues-128
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2551
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0984 | 1.0 | 291 | 1.7081 |
| 1.6512 | 2.0 | 582 | 1.4289 |
| 1.4854 | 3.0 | 873 | 1.3845 |
| 1.3924 | 4.0 | 1164 | 1.3844 |
| 1.3375 | 5.0 | 1455 | 1.1944 |
| 1.2969 | 6.0 | 1746 | 1.2848 |
| 1.2443 | 7.0 | 2037 | 1.2678 |
| 1.1998 | 8.0 | 2328 | 1.2151 |
| 1.1805 | 9.0 | 2619 | 1.1638 |
| 1.1396 | 10.0 | 2910 | 1.2131 |
| 1.1333 | 11.0 | 3201 | 1.1966 |
| 1.0974 | 12.0 | 3492 | 1.1687 |
| 1.0822 | 13.0 | 3783 | 1.2283 |
| 1.0736 | 14.0 | 4074 | 1.1640 |
| 1.0595 | 15.0 | 4365 | 1.1207 |
| 1.0515 | 16.0 | 4656 | 1.2551 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
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