---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_12_layer_model_v2_complete_training_new_wt_init_120
  results: []
---

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# bert_12_layer_model_v2_complete_training_new_wt_init_120

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_96](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_96) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3044
- Accuracy: 0.5675

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.5079        | 0.08  | 10000  | 2.4011          | 0.5539   |
| 2.4953        | 0.16  | 20000  | 2.3921          | 0.5553   |
| 2.484         | 0.25  | 30000  | 2.3823          | 0.5568   |
| 2.4828        | 0.33  | 40000  | 2.3711          | 0.5582   |
| 2.4639        | 0.41  | 50000  | 2.3587          | 0.5598   |
| 2.4572        | 0.49  | 60000  | 2.3521          | 0.5610   |
| 2.4385        | 0.57  | 70000  | 2.3430          | 0.5626   |
| 2.4307        | 0.66  | 80000  | 2.3337          | 0.5633   |
| 2.4162        | 0.74  | 90000  | 2.3208          | 0.5647   |
| 2.4088        | 0.82  | 100000 | 2.3133          | 0.5663   |
| 2.4139        | 0.9   | 110000 | 2.3044          | 0.5675   |


### Framework versions

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