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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: oldData_BERT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# oldData_BERT

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0616

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2348        | 1.0   | 1125 | 1.0185          |
| 1.0082        | 2.0   | 2250 | 0.7174          |
| 0.699         | 3.0   | 3375 | 0.3657          |
| 0.45          | 4.0   | 4500 | 0.1880          |
| 0.2915        | 5.0   | 5625 | 0.1140          |
| 0.2056        | 6.0   | 6750 | 0.0708          |
| 0.1312        | 7.0   | 7875 | 0.0616          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
