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update model card README.md

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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language:
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- - et
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  license: apache-2.0
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  tags:
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  - automatic-speech-recognition
@@ -18,10 +18,10 @@ 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 - ET dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4623
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- - Wer: 0.3420
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  ## Model description
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@@ -54,16 +54,31 @@ The following hyperparameters were used during training:
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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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- | 0.3082 | 12.5 | 500 | 0.3871 | 0.4907 |
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- | 0.1497 | 25.0 | 1000 | 0.4168 | 0.4278 |
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- | 0.1243 | 37.5 | 1500 | 0.4446 | 0.4220 |
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- | 0.0954 | 50.0 | 2000 | 0.4426 | 0.3946 |
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- | 0.0741 | 62.5 | 2500 | 0.4502 | 0.3800 |
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- | 0.0533 | 75.0 | 3000 | 0.4618 | 0.3653 |
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- | 0.0447 | 87.5 | 3500 | 0.4518 | 0.3461 |
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- | 0.0396 | 100.0 | 4000 | 0.4623 | 0.3420 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  language:
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+ - eu
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  license: apache-2.0
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  tags:
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  - automatic-speech-recognition
 
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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 - EU dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2278
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+ - Wer: 0.1787
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  ## Model description
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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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+ | 0.2548 | 4.24 | 500 | 0.2470 | 0.3663 |
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+ | 0.1435 | 8.47 | 1000 | 0.2000 | 0.2791 |
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+ | 0.1158 | 12.71 | 1500 | 0.2030 | 0.2652 |
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+ | 0.1094 | 16.95 | 2000 | 0.2096 | 0.2605 |
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+ | 0.1004 | 21.19 | 2500 | 0.2150 | 0.2477 |
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+ | 0.0945 | 25.42 | 3000 | 0.2072 | 0.2369 |
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+ | 0.0844 | 29.66 | 3500 | 0.1981 | 0.2328 |
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+ | 0.0877 | 33.89 | 4000 | 0.2041 | 0.2425 |
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+ | 0.0741 | 38.14 | 4500 | 0.2353 | 0.2421 |
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+ | 0.0676 | 42.37 | 5000 | 0.2092 | 0.2213 |
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+ | 0.0623 | 46.61 | 5500 | 0.2217 | 0.2250 |
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+ | 0.0574 | 50.84 | 6000 | 0.2152 | 0.2179 |
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+ | 0.0583 | 55.08 | 6500 | 0.2207 | 0.2186 |
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+ | 0.0488 | 59.32 | 7000 | 0.2225 | 0.2159 |
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+ | 0.0456 | 63.56 | 7500 | 0.2293 | 0.2031 |
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+ | 0.041 | 67.79 | 8000 | 0.2277 | 0.2013 |
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+ | 0.0379 | 72.03 | 8500 | 0.2287 | 0.1991 |
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+ | 0.0381 | 76.27 | 9000 | 0.2233 | 0.1954 |
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+ | 0.0308 | 80.51 | 9500 | 0.2195 | 0.1835 |
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+ | 0.0291 | 84.74 | 10000 | 0.2266 | 0.1825 |
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+ | 0.0266 | 88.98 | 10500 | 0.2285 | 0.1801 |
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+ | 0.0266 | 93.22 | 11000 | 0.2292 | 0.1801 |
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+ | 0.0262 | 97.46 | 11500 | 0.2278 | 0.1788 |
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  ### Framework versions
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  eval_samples_per_second = 19.149
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  Configuration saved in ./preprocessor_config.jsonβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 90/90 [05:33<00:00, 3.71s/it]ard` and have been ignored: input_length.1500don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  eval_samples_per_second = 19.149
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