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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: 1.2424

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1009        | 1.0   | 291  | 1.6894          |
| 1.6324        | 2.0   | 582  | 1.5248          |
| 1.4931        | 3.0   | 873  | 1.3570          |
| 1.4003        | 4.0   | 1164 | 1.3409          |
| 1.3355        | 5.0   | 1455 | 1.2508          |
| 1.2724        | 6.0   | 1746 | 1.3724          |
| 1.2234        | 7.0   | 2037 | 1.2838          |
| 1.2059        | 8.0   | 2328 | 1.3336          |
| 1.1776        | 9.0   | 2619 | 1.2046          |
| 1.1342        | 10.0  | 2910 | 1.1549          |
| 1.1308        | 11.0  | 3201 | 1.1369          |
| 1.1005        | 12.0  | 3492 | 1.1972          |
| 1.0956        | 13.0  | 3783 | 1.2161          |
| 1.0786        | 14.0  | 4074 | 1.2116          |
| 1.075         | 15.0  | 4365 | 1.2191          |
| 1.052         | 16.0  | 4656 | 1.2424          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-issues-128", "results": []}]}
transformers safetensors bert fill-mask generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us