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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_12_layer_model_v1_complete_training_new_120
  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_v1_complete_training_new_120

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_96](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_96) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2643
- Accuracy: 0.5796

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.4425        | 0.08  | 10000  | 2.3838          | 0.5641   |
| 2.4415        | 0.16  | 20000  | 2.3705          | 0.5658   |
| 2.4103        | 0.25  | 30000  | 2.3537          | 0.5680   |
| 2.4068        | 0.33  | 40000  | 2.3430          | 0.5696   |
| 2.3823        | 0.41  | 50000  | 2.3249          | 0.5719   |
| 2.3729        | 0.49  | 60000  | 2.3141          | 0.5733   |
| 2.3516        | 0.57  | 70000  | 2.2986          | 0.5751   |
| 2.342         | 0.66  | 80000  | 2.2878          | 0.5764   |
| 2.3265        | 0.74  | 90000  | 2.2734          | 0.5782   |
| 2.3158        | 0.82  | 100000 | 2.2643          | 0.5796   |


### Framework versions

- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3