---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Wav2vec2-large-robust-Pronounciation-Evaluation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Wav2vec2-large-robust-Pronounciation-Evaluation

This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7846
- Accuracy: 0.72
- F1: 0.72
- Precision: 0.72
- Recall: 0.72

## 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_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1    | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|:------:|
| 0.7468        | 1.0   | 500  | 0.9762          | 0.616    | 0.616 | 0.616     | 0.616  |
| 0.492         | 2.0   | 1000 | 1.1308          | 0.536    | 0.536 | 0.536     | 0.536  |
| 0.619         | 3.0   | 1500 | 0.7913          | 0.688    | 0.688 | 0.688     | 0.688  |
| 0.56          | 4.0   | 2000 | 0.8142          | 0.67     | 0.67  | 0.67      | 0.67   |
| 0.4561        | 5.0   | 2500 | 0.7452          | 0.708    | 0.708 | 0.708     | 0.708  |
| 0.5474        | 6.0   | 3000 | 0.7846          | 0.72     | 0.72  | 0.72      | 0.72   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3