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license:
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---
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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metrics:
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- wer
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model-index:
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- name: tachiwin_totonac
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: audiofolder
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type: audiofolder
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config: ljcamargo--totonac_alpha_1
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split: test
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args: ljcamargo--totonac_alpha_1
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metrics:
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- name: Wer
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type: wer
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value: 0.689873417721519
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tachiwin_totonac
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1224
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- Wer: 0.6899
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 5.1063 | 5.19 | 200 | 2.9834 | 1.0 |
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| 2.9016 | 10.39 | 400 | 2.4405 | 0.9959 |
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| 1.7606 | 15.58 | 600 | 1.1942 | 0.8532 |
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| 1.0549 | 20.78 | 800 | 1.1132 | 0.7788 |
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| 0.7553 | 25.97 | 1000 | 1.1224 | 0.6899 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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