---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_12_layer_model_v1_complete_training_new_wt_init_120
  results: []
---

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# bert_12_layer_model_v1_complete_training_new_wt_init_120

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_96](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_96) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1966
- Accuracy: 0.5856

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.3673        | 0.08  | 10000  | 2.2852          | 0.5732   |
| 2.356         | 0.16  | 20000  | 2.2772          | 0.5744   |
| 2.3424        | 0.25  | 30000  | 2.2640          | 0.5765   |
| 2.3442        | 0.33  | 40000  | 2.2525          | 0.5778   |
| 2.3228        | 0.41  | 50000  | 2.2427          | 0.5793   |
| 2.3179        | 0.49  | 60000  | 2.2313          | 0.5810   |
| 2.2993        | 0.57  | 70000  | 2.2237          | 0.5822   |
| 2.2911        | 0.66  | 80000  | 2.2128          | 0.5831   |
| 2.279         | 0.74  | 90000  | 2.2008          | 0.5842   |
| 2.2715        | 0.82  | 100000 | 2.1966          | 0.5856   |


### Framework versions

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