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wav2vec2-xls-r-300m-west-slavic-cv8

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
xlsr-fine-tuning-week
Eval Results
Inference Endpoints
Model card Files Community
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  ---
 
 
 
 
 
 
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  license: apache-2.0
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  tags:
 
 
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  - generated_from_trainer
 
 
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  model-index:
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  - name: wav2vec2-xls-r-300m-west-slavic-cv8
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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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-
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  # wav2vec2-xls-r-300m-west-slavic-cv8
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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 None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 2.3462
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- - Wer: 0.8556
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- - Cer: 0.2799
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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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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-
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
@@ -45,52 +112,6 @@ The following hyperparameters were used during training:
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  - num_epochs: 50
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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- | 6.548 | 1.23 | 400 | 3.4763 | 1.0 | 1.0 |
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- | 3.42 | 2.45 | 800 | 3.3156 | 1.0 | 1.0 |
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- | 3.291 | 3.68 | 1200 | 3.2396 | 1.0 | 1.0 |
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- | 2.6515 | 4.91 | 1600 | 2.0422 | 0.9997 | 0.5835 |
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- | 1.7019 | 6.13 | 2000 | 1.6337 | 0.9893 | 0.4797 |
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- | 1.3604 | 7.36 | 2400 | 1.5221 | 0.9875 | 0.4463 |
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- | 1.1965 | 8.59 | 2800 | 1.5284 | 0.9766 | 0.4247 |
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- | 1.069 | 9.82 | 3200 | 1.5228 | 0.9672 | 0.4124 |
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- | 0.9536 | 11.04 | 3600 | 1.4059 | 0.9600 | 0.3868 |
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- | 0.8487 | 12.27 | 4000 | 1.4083 | 0.9501 | 0.3739 |
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- | 0.7655 | 13.5 | 4400 | 1.4079 | 0.9369 | 0.3612 |
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- | 0.6956 | 14.72 | 4800 | 1.4170 | 0.9411 | 0.3459 |
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- | 0.6287 | 15.95 | 5200 | 1.4000 | 0.9235 | 0.3384 |
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- | 0.561 | 17.18 | 5600 | 1.4735 | 0.9023 | 0.3295 |
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- | 0.5155 | 18.4 | 6000 | 1.5386 | 0.9202 | 0.3223 |
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- | 0.4864 | 19.63 | 6400 | 1.6186 | 0.9073 | 0.3259 |
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- | 0.4261 | 20.86 | 6800 | 1.6417 | 0.9217 | 0.3130 |
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- | 0.4051 | 22.09 | 7200 | 1.6295 | 0.8954 | 0.3026 |
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- | 0.3779 | 23.31 | 7600 | 1.8218 | 0.8979 | 0.3153 |
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- | 0.35 | 24.54 | 8000 | 1.7790 | 0.8921 | 0.3036 |
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- | 0.3343 | 25.77 | 8400 | 1.8588 | 0.9114 | 0.3072 |
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- | 0.3137 | 26.99 | 8800 | 1.8096 | 0.8756 | 0.2935 |
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- | 0.299 | 28.22 | 9200 | 1.9721 | 0.8863 | 0.3023 |
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- | 0.2894 | 29.45 | 9600 | 1.9907 | 0.8872 | 0.2958 |
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- | 0.2784 | 30.67 | 10000 | 1.9494 | 0.9090 | 0.2945 |
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- | 0.2662 | 31.9 | 10400 | 1.9952 | 0.8978 | 0.2935 |
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- | 0.2614 | 33.13 | 10800 | 2.0600 | 0.8949 | 0.2979 |
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- | 0.2401 | 34.36 | 11200 | 2.1180 | 0.8914 | 0.2950 |
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- | 0.2392 | 35.58 | 11600 | 2.1197 | 0.8713 | 0.2895 |
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- | 0.23 | 36.81 | 12000 | 2.1680 | 0.8713 | 0.2941 |
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- | 0.2246 | 38.04 | 12400 | 2.1526 | 0.8741 | 0.2879 |
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- | 0.2152 | 39.26 | 12800 | 2.2631 | 0.8790 | 0.2889 |
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- | 0.212 | 40.49 | 13200 | 2.2724 | 0.8661 | 0.2843 |
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- | 0.2044 | 41.72 | 13600 | 2.2438 | 0.8691 | 0.2878 |
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- | 0.2029 | 42.94 | 14000 | 2.2519 | 0.8577 | 0.2833 |
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- | 0.1972 | 44.17 | 14400 | 2.2697 | 0.8604 | 0.2813 |
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- | 0.1884 | 45.4 | 14800 | 2.3294 | 0.8662 | 0.2847 |
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- | 0.1877 | 46.63 | 15200 | 2.3077 | 0.8561 | 0.2793 |
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- | 0.1871 | 47.85 | 15600 | 2.3518 | 0.8563 | 0.2801 |
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- | 0.1838 | 49.08 | 16000 | 2.3462 | 0.8556 | 0.2799 |
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-
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-
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  ### Framework versions
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  - Transformers 4.16.0.dev0
 
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  ---
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+ language:
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+ - cs
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+ - hsb
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+ - pl
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+ - sk
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+ - sl
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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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+ - xlsr-fine-tuning-week
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  model-index:
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  - name: wav2vec2-xls-r-300m-west-slavic-cv8
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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: cs
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 53.5
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+ - name: Test CER
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+ type: cer
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+ value: 14.7
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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: hsb
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 81.7
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+ - name: Test CER
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+ type: cer
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+ value: 21.2
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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: pl
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 60.2
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+ - name: Test CER
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+ type: cer
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+ value: 15.6
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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: sk
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 69.6
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+ - name: Test CER
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+ type: cer
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+ value: 20.7
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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: sl
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 73.2
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+ - name: Test CER
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+ type: cer
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+ value: 23.2
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  ---
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  # wav2vec2-xls-r-300m-west-slavic-cv8
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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 Common Voice 8 dataset of five similar languages with similar scripts: Czech, Slovak, Polish, Slovenian and Upper Sorbian. Training and validation sets were concatenated and shuffled.
 
 
 
 
 
 
 
 
 
 
 
 
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+ Evaluation set used for training was concatenated from the respective test sets and shuffled while limiting each language to at most 2000 samples. During training, cca WER 70 was achieved on this set.
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+ ### Evaluation script
 
 
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+ ```
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+ python eval.py --model_id comodoro/wav2vec2-xls-r-300m-west-slavic-cv8 --dataset mozilla-foundation/common_voice_8_0 --split test --config {lang}
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+ ```
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+
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  - num_epochs: 50
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.16.0.dev0