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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: facebook/wav2vec2-large-robust
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
should probably proofread and complete it, then remove this comment. -->
# 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
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