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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-conformer-rel-pos-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-conformer-large-cv13 |
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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: common_voice_13_0 |
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type: common_voice_13_0 |
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config: ja |
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split: test[:10%] |
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args: ja |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.961053330382828 |
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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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# wav2vec2-conformer-large-cv13 |
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This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.3295 |
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- Wer: 0.9611 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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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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| 8.4756 | 1.0 | 715 | 5.7619 | 1.0 | |
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| 5.6554 | 2.0 | 1430 | 5.7260 | 1.0 | |
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| 5.4654 | 3.0 | 2146 | 5.5588 | 0.9993 | |
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| 5.421 | 4.0 | 2861 | 5.5970 | 0.9918 | |
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| 5.3141 | 5.0 | 3577 | 5.4359 | 0.9794 | |
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| 5.2603 | 6.0 | 4292 | 5.4187 | 0.9792 | |
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| 5.1834 | 7.0 | 5008 | 5.3865 | 0.9785 | |
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| 5.1195 | 8.0 | 5723 | 5.3875 | 0.9661 | |
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| 5.0788 | 9.0 | 6438 | 5.3399 | 0.9668 | |
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| 4.9988 | 9.99 | 7150 | 5.3295 | 0.9611 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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