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--- |
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language: |
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- or |
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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_9_0 |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_9_0 |
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metrics: |
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- wer |
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model-index: |
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- name: XLS-R-300M - Odia |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Speech Recognition |
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dataset: |
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type: mozilla-foundation/common_voice_9_0 |
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name: Common Voice 9 |
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args: or |
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metrics: |
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- type: wer |
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value: 44.343 |
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name: Test WER |
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- name: Test CER |
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type: cer |
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value: 10.989 |
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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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# |
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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 MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - OR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7886 |
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- Wer: 0.5495 |
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- Cer: 0.1311 |
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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: 7.5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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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_ratio: 0.1 |
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- training_steps: 3071 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
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| 3.5875 | 66.62 | 400 | 3.4289 | 1.0 | 1.0 | |
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| 1.4065 | 133.31 | 800 | 0.7243 | 0.6619 | 0.1734 | |
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| 1.007 | 199.92 | 1200 | 0.6611 | 0.5831 | 0.1457 | |
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| 0.7984 | 266.62 | 1600 | 0.6387 | 0.5520 | 0.1332 | |
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| 0.6117 | 333.31 | 2000 | 0.7424 | 0.5682 | 0.1376 | |
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| 0.4926 | 399.92 | 2400 | 0.7627 | 0.5514 | 0.1314 | |
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| 0.416 | 466.62 | 2800 | 0.7816 | 0.5604 | 0.1320 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.1.1.dev0 |
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- Tokenizers 0.12.1 |
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