---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Model_P_Wav2Vec2_Versi2
  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_P_Wav2Vec2_Versi2

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7372
- Wer: 0.5827
- Cer: 0.2585

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 3.6262        | 3.49  | 400  | 2.1100          | 0.9084 | 0.3800 |
| 0.6747        | 6.99  | 800  | 2.2525          | 0.7047 | 0.2942 |
| 0.4115        | 10.48 | 1200 | 2.2371          | 0.6452 | 0.2875 |
| 0.2946        | 13.97 | 1600 | 2.4240          | 0.6279 | 0.2705 |
| 0.2252        | 17.47 | 2000 | 2.5509          | 0.6429 | 0.2759 |
| 0.1822        | 20.96 | 2400 | 2.4377          | 0.6095 | 0.2692 |
| 0.1318        | 24.45 | 2800 | 2.6908          | 0.5807 | 0.2549 |
| 0.1001        | 27.95 | 3200 | 2.7372          | 0.5827 | 0.2585 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3