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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-Adult-Text-Classifier
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-Adult-Text-Classifier
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: 0.1257
- Accuracy: 0.9824
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 43 | 0.1197 | 0.9588 |
| No log | 2.0 | 86 | 0.1943 | 0.9529 |
| No log | 3.0 | 129 | 0.0942 | 0.9765 |
| No log | 4.0 | 172 | 0.1308 | 0.9765 |
| No log | 5.0 | 215 | 0.1178 | 0.9765 |
| No log | 6.0 | 258 | 0.1159 | 0.9824 |
| No log | 7.0 | 301 | 0.1175 | 0.9824 |
| No log | 8.0 | 344 | 0.1209 | 0.9824 |
| No log | 9.0 | 387 | 0.1243 | 0.9824 |
| No log | 10.0 | 430 | 0.1257 | 0.9824 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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