---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-finetuned-low20-1-cased-DA-20
  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-large-cased-finetuned-low20-1-cased-DA-20

This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0643

## 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: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5949        | 1.0   | 1    | 2.1115          |
| 2.0432        | 2.0   | 2    | 1.1308          |
| 1.8673        | 3.0   | 3    | 2.9839          |
| 2.148         | 4.0   | 4    | 3.1041          |
| 2.3452        | 5.0   | 5    | 0.8330          |
| 2.7264        | 6.0   | 6    | 0.4304          |
| 2.2264        | 7.0   | 7    | 0.7261          |
| 1.7837        | 8.0   | 8    | 2.6532          |
| 2.1499        | 9.0   | 9    | 1.0848          |
| 1.8867        | 10.0  | 10   | 1.6630          |
| 2.1755        | 11.0  | 11   | 0.9400          |
| 2.3771        | 12.0  | 12   | 2.6569          |
| 1.9036        | 13.0  | 13   | 2.8530          |
| 2.6166        | 14.0  | 14   | 0.5954          |
| 2.568         | 15.0  | 15   | 2.6136          |
| 2.5912        | 16.0  | 16   | 2.6986          |
| 1.245         | 17.0  | 17   | 2.1147          |
| 2.1394        | 18.0  | 18   | 1.0086          |
| 1.6254        | 19.0  | 19   | 2.1770          |
| 1.9212        | 20.0  | 20   | 1.0643          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2