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--- |
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language: |
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- rm-sursilv |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_8_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-xls-r-300m-rm-sursilv-d11 |
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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_8_0 |
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name: Common Voice 8 |
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args: rm-sursilv |
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metrics: |
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- type: wer |
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value: 0.24094169578811844 |
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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: 0.049832791672554284 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: rm-sursilv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: NA |
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- name: Test CER |
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type: cer |
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value: NA |
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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_8_0 - RM-SURSILV dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2511 |
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- Wer: 0.2415 |
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#### Evaluation Commands |
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1. To evaluate on mozilla-foundation/common_voice_8_0 with test split |
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python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11 --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test --log_outputs |
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2. To evaluate on speech-recognition-community-v2/dev_data |
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Romansh-Sursilv language isn't available in speech-recognition-community-v2/dev_data |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 2000 |
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- num_epochs: 125.0 |
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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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| 2.3958 | 17.44 | 1500 | 0.6808 | 0.6521 | |
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| 0.9663 | 34.88 | 3000 | 0.3023 | 0.3718 | |
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| 0.7963 | 52.33 | 4500 | 0.2588 | 0.3046 | |
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| 0.6893 | 69.77 | 6000 | 0.2436 | 0.2718 | |
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| 0.6148 | 87.21 | 7500 | 0.2521 | 0.2572 | |
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| 0.5556 | 104.65 | 9000 | 0.2490 | 0.2442 | |
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| 0.5258 | 122.09 | 10500 | 0.2515 | 0.2442 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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