---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: bert-base-uncased
model-index:
- name: bert_base_24
  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_24

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: 6.0090
- Accuracy: 0.1512

## 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: 1e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.4917        | 0.08  | 10000 | 6.4422          | 0.1406   |
| 6.2848        | 0.16  | 20000 | 6.2644          | 0.1478   |
| 6.1988        | 0.25  | 30000 | 6.1852          | 0.1493   |
| 6.148         | 0.33  | 40000 | 6.1287          | 0.1501   |
| 6.1007        | 0.41  | 50000 | 6.0888          | 0.1501   |
| 6.0721        | 0.49  | 60000 | 6.0555          | 0.1499   |
| 6.0414        | 0.57  | 70000 | 6.0274          | 0.1514   |
| 6.0229        | 0.66  | 80000 | 6.0090          | 0.1512   |


### Framework versions

- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3