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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: result
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. -->
# result
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Accuracy: {'accuracy': 1.0}
- F1score: {'f1': 1.0}
## 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
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1score |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
| 0.0164 | 1.0 | 490 | 0.0041 | {'accuracy': 0.9994051160023796} | {'f1': 0.9994050913164501} |
| 0.0787 | 2.0 | 980 | 0.0020 | {'accuracy': 0.9994051160023796} | {'f1': 0.9994050913164501} |
| 0.0004 | 3.0 | 1470 | 0.0002 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0003 | 4.0 | 1960 | 0.0002 | {'accuracy': 1.0} | {'f1': 1.0} |
| 0.0086 | 5.0 | 2450 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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