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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_7_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-odia |
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results: [] |
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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-large-xls-r-300m-odia |
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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_7_0 - OR dataset. |
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It achieves the following results on the evaluation set: |
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``` |
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python eval.py --model_id ./ --dataset mozilla-foundation/common_voice_7_0 --config as --split test --log_outputs |
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``` |
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- WER: 0.7954545454545454 |
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- CER: 0.32341269841269843 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 120.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| | eval_loss | eval_wer | eval_runtime | eval_samples_per_second | eval_steps_per_second | epoch | |
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|---:|------------:|-----------:|---------------:|--------------------------:|------------------------:|--------:| |
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| 0 | 3.35224 | 0.998972 | 5.0475 | 22.189 | 1.387 | 29.41 | |
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| 1 | 1.33679 | 0.938335 | 5.0633 | 22.12 | 1.382 | 58.82 | |
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| 2 | 0.737202 | 0.957862 | 5.0913 | 21.998 | 1.375 | 88.24 | |
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| 3 | 0.658212 | 0.96814 | 5.0953 | 21.981 | 1.374 | 117.65 | |
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| 4 | 0.658 | 0.9712 | 5.0953 | 22.115 | 1.382 | 120 | |
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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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