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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_8_0
model-index:
- name: Fine_Tunning_on_CV_dataset
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. -->
# Fine_Tunning_on_CV_dataset
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_8_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7892
- Wer: 0.4734
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.8618 | 3.25 | 1000 | 3.0765 | 0.9989 |
| 1.6825 | 6.49 | 2000 | 0.8932 | 0.6292 |
| 0.7813 | 9.74 | 3000 | 0.7750 | 0.5454 |
| 0.5859 | 12.99 | 4000 | 0.7413 | 0.5151 |
| 0.472 | 16.23 | 5000 | 0.7559 | 0.4952 |
| 0.404 | 19.48 | 6000 | 0.7677 | 0.4915 |
| 0.3637 | 22.73 | 7000 | 0.7788 | 0.4863 |
| 0.3238 | 25.97 | 8000 | 0.7920 | 0.4738 |
| 0.3038 | 29.22 | 9000 | 0.7892 | 0.4734 |
### Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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