---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: add_bert_12_layer_model_complete_training_new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# add_bert_12_layer_model_complete_training_new

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0000

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.0           | 0.11  | 10000  | nan             | 0.0000   |
| 0.0           | 0.22  | 20000  | nan             | 0.0000   |
| 0.0           | 0.33  | 30000  | nan             | 0.0000   |
| 0.0           | 0.44  | 40000  | nan             | 0.0000   |
| 0.0           | 0.55  | 50000  | nan             | 0.0000   |
| 0.0           | 0.66  | 60000  | nan             | 0.0000   |
| 0.0           | 0.76  | 70000  | nan             | 0.0000   |
| 0.0           | 0.87  | 80000  | nan             | 0.0000   |
| 0.0           | 0.98  | 90000  | nan             | 0.0000   |
| 0.0           | 1.09  | 100000 | nan             | 0.0000   |
| 0.0           | 1.2   | 110000 | nan             | 0.0000   |
| 0.0           | 1.31  | 120000 | nan             | 0.0000   |
| 0.0           | 1.42  | 130000 | nan             | 0.0000   |
| 0.0           | 1.53  | 140000 | nan             | 0.0000   |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3