---
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: 1.6567

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0518        | 1.0   | 391  | 1.8074          |
| 1.8971        | 2.0   | 782  | 1.7770          |
| 1.8422        | 3.0   | 1173 | 1.7504          |
| 1.7984        | 4.0   | 1564 | 1.7272          |
| 1.777         | 5.0   | 1955 | 1.6912          |
| 1.7532        | 6.0   | 2346 | 1.6920          |
| 1.7323        | 7.0   | 2737 | 1.6826          |
| 1.7251        | 8.0   | 3128 | 1.6687          |
| 1.7108        | 9.0   | 3519 | 1.6553          |
| 1.7076        | 10.0  | 3910 | 1.6702          |


### Framework versions

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