---
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
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# 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: 1.2337

## 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: 128
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3389        | 1.0   | 73   | 1.7400          |
| 1.8014        | 2.0   | 146  | 1.4690          |
| 1.634         | 3.0   | 219  | 1.4783          |
| 1.5461        | 4.0   | 292  | 1.3912          |
| 1.4706        | 5.0   | 365  | 1.3109          |
| 1.4161        | 6.0   | 438  | 1.3405          |
| 1.3664        | 7.0   | 511  | 1.3459          |
| 1.332         | 8.0   | 584  | 1.2745          |
| 1.3029        | 9.0   | 657  | 1.2633          |
| 1.2871        | 10.0  | 730  | 1.2336          |
| 1.2807        | 11.0  | 803  | 1.2966          |
| 1.2569        | 12.0  | 876  | 1.1508          |
| 1.2392        | 13.0  | 949  | 1.2530          |
| 1.237         | 14.0  | 1022 | 1.2485          |
| 1.2169        | 15.0  | 1095 | 1.2592          |
| 1.2272        | 16.0  | 1168 | 1.2337          |


### Framework versions

- Transformers 4.19.1
- Pytorch 1.12.0.dev20220513+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1