---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-real
  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. -->

# wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-real

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2577
- Accuracy: 0.6578
- F1: 0.6488
- Precision: 0.6432
- Recall: 0.6578

## 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.9224        | 1.0   | 310  | 0.8380          | 0.6142   | 0.5589 | 0.6070    | 0.6142 |
| 0.6168        | 2.0   | 620  | 0.7955          | 0.6651   | 0.6313 | 0.6369    | 0.6651 |
| 0.4687        | 3.0   | 930  | 1.0592          | 0.6150   | 0.6041 | 0.6434    | 0.6150 |
| 0.4495        | 4.0   | 1240 | 1.1980          | 0.6707   | 0.6592 | 0.6547    | 0.6707 |
| 0.182         | 5.0   | 1550 | 1.4150          | 0.6683   | 0.6596 | 0.6566    | 0.6683 |


### Framework versions

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