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---
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
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