---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_72
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_72

This model is a fine-tuned version of [gokuls/bert_base_48](https://huggingface.co/gokuls/bert_base_48) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3795
- Accuracy: 0.4262

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.6041        | 0.08  | 10000 | 5.5567          | 0.1751   |
| 5.4727        | 0.16  | 20000 | 5.3950          | 0.1953   |
| 5.3385        | 0.25  | 30000 | 5.2277          | 0.2150   |
| 5.2034        | 0.33  | 40000 | 5.0608          | 0.2335   |
| 4.7808        | 0.41  | 50000 | 4.5612          | 0.2910   |
| 4.1997        | 0.49  | 60000 | 4.0041          | 0.3519   |
| 3.804         | 0.57  | 70000 | 3.6509          | 0.3906   |
| 3.5517        | 0.66  | 80000 | 3.3795          | 0.4262   |


### Framework versions

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