---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_12_layer_model_v2_complete_training_new
  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_12_layer_model_v2_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: 5.5272
- Accuracy: 0.1983

## 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: 1e-05
- train_batch_size: 48
- eval_batch_size: 48
- 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

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 6.5761        | 0.08  | 10000  | 6.5404          | 0.1269   |
| 6.3286        | 0.16  | 20000  | 6.3053          | 0.1409   |
| 6.2283        | 0.25  | 30000  | 6.2131          | 0.1449   |
| 6.1756        | 0.33  | 40000  | 6.1536          | 0.1478   |
| 6.1292        | 0.41  | 50000  | 6.1186          | 0.1487   |
| 6.1008        | 0.49  | 60000  | 6.0845          | 0.1494   |
| 6.0718        | 0.57  | 70000  | 6.0606          | 0.1504   |
| 5.9008        | 0.66  | 80000  | 5.8655          | 0.1578   |
| 5.797         | 0.74  | 90000  | 5.7561          | 0.1695   |
| 5.6959        | 0.82  | 100000 | 5.6441          | 0.1832   |
| 5.5955        | 0.9   | 110000 | 5.5272          | 0.1983   |


### Framework versions

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