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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- robust-speech-event |
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datasets: |
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- common_voice |
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model-index: |
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- name: xls-r-300m-dv |
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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 8 |
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type: mozilla-foundation/common_voice_8_0 |
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args: dv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: |
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- name: Test CER |
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type: cer |
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value: |
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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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# xls-r-300m-dv |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - dv dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6182 |
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- Wer: 0.5481 |
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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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- 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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| 4.3529 | 2.63 | 400 | 1.2050 | 0.9526 | |
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| 0.7191 | 5.26 | 800 | 0.6037 | 0.7216 | |
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| 0.3981 | 7.89 | 1200 | 0.5048 | 0.6225 | |
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| 0.2888 | 10.52 | 1600 | 0.5345 | 0.6170 | |
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| 0.2229 | 13.16 | 2000 | 0.5261 | 0.6015 | |
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| 0.1865 | 15.79 | 2400 | 0.5983 | 0.5924 | |
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| 0.1542 | 18.42 | 2800 | 0.5900 | 0.5770 | |
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| 0.1401 | 21.05 | 3200 | 0.6425 | 0.5783 | |
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| 0.1205 | 23.68 | 3600 | 0.6322 | 0.5760 | |
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| 0.1105 | 26.31 | 4000 | 0.6302 | 0.5567 | |
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| 0.0958 | 28.94 | 4400 | 0.6182 | 0.5481 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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