---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: gokuls/bert_base_24
model-index:
- name: bert_base_48
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_48

This model is a fine-tuned version of [gokuls/bert_base_24](https://huggingface.co/gokuls/bert_base_24) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6418
- Accuracy: 0.1663

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.005         | 0.08  | 10000 | 5.9999          | 0.1513   |
| 5.9845        | 0.16  | 20000 | 5.9811          | 0.1511   |
| 5.9695        | 0.25  | 30000 | 5.9673          | 0.1518   |
| 5.9599        | 0.33  | 40000 | 5.9513          | 0.1515   |
| 5.9402        | 0.41  | 50000 | 5.9411          | 0.1517   |
| 5.9291        | 0.49  | 60000 | 5.9217          | 0.1518   |
| 5.6816        | 0.57  | 70000 | 5.6418          | 0.1663   |


### Framework versions

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