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---
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: hubert-base-ls960-finetuned-common_voice
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. -->
# hubert-base-ls960-finetuned-common_voice
This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0353
- Accuracy: 1.0
- F1: 1.0
- Recall: 1.0
- Precision: 1.0
- Mcc: 1.0
- Auc: 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Mcc | Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:------:|
| 0.1939 | 0.96 | 12 | 0.0971 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.2049 | 2.0 | 25 | 0.0784 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1763 | 2.96 | 37 | 0.0645 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1441 | 4.0 | 50 | 0.0972 | 0.985 | 0.9850 | 0.985 | 0.9860 | 0.9815 | 0.9994 |
| 0.1264 | 4.96 | 62 | 0.0627 | 0.9925 | 0.9925 | 0.9925 | 0.9928 | 0.9907 | 1.0 |
| 0.1148 | 6.0 | 75 | 0.0426 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1114 | 6.96 | 87 | 0.0394 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0911 | 8.0 | 100 | 0.0365 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.078 | 8.96 | 112 | 0.0358 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0797 | 9.6 | 120 | 0.0353 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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