---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-cda
  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-finetuned-cda

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: 1.7391

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2683        | 1.0   | 40   | 2.0325          |
| 2.1143        | 2.0   | 80   | 1.8827          |
| 2.0295        | 3.0   | 120  | 1.8460          |
| 1.9621        | 4.0   | 160  | 1.8493          |
| 1.9158        | 5.0   | 200  | 1.8602          |
| 1.8769        | 6.0   | 240  | 1.7884          |
| 1.8515        | 7.0   | 280  | 1.7654          |
| 1.8289        | 8.0   | 320  | 1.7201          |
| 1.8179        | 9.0   | 360  | 1.7056          |
| 1.8047        | 10.0  | 400  | 1.7364          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1