---
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-uncased
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
should probably proofread and complete it, then remove this comment. -->

# 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: 1.1663

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1124        | 1.0   | 291  | 1.6330          |
| 1.6254        | 2.0   | 582  | 1.5264          |
| 1.4981        | 3.0   | 873  | 1.4292          |
| 1.4031        | 4.0   | 1164 | 1.3636          |
| 1.3311        | 5.0   | 1455 | 1.2945          |
| 1.2789        | 6.0   | 1746 | 1.2382          |
| 1.2376        | 7.0   | 2037 | 1.2670          |
| 1.2049        | 8.0   | 2328 | 1.2065          |
| 1.1789        | 9.0   | 2619 | 1.1641          |
| 1.1466        | 10.0  | 2910 | 1.1732          |
| 1.1331        | 11.0  | 3201 | 1.1338          |
| 1.088         | 12.0  | 3492 | 1.2339          |
| 1.0916        | 13.0  | 3783 | 1.1853          |
| 1.0755        | 14.0  | 4074 | 1.1018          |
| 1.058         | 15.0  | 4365 | 1.2024          |
| 1.0536        | 16.0  | 4656 | 1.1663          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.10.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1