---
tags:
- generated_from_trainer
model-index:
- name: Model_G_S_P_Wav2Vec2
  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. -->

# Model_G_S_P_Wav2Vec2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4856
- Wer: 0.5755
- Cer: 0.2446

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.0588        | 4.17  | 400  | 1.7492          | 0.6409 | 0.2597 |
| 0.5411        | 8.33  | 800  | 2.0539          | 0.6467 | 0.2779 |
| 0.403         | 12.5  | 1200 | 2.0300          | 0.6500 | 0.2674 |
| 0.2896        | 16.67 | 1600 | 2.0923          | 0.6024 | 0.2544 |
| 0.2176        | 20.83 | 2000 | 2.1371          | 0.5763 | 0.2449 |
| 0.1557        | 25.0  | 2400 | 2.3540          | 0.5906 | 0.2505 |
| 0.1089        | 29.17 | 2800 | 2.4856          | 0.5755 | 0.2446 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3