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update model card README.md

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@@ -3,18 +3,18 @@ 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: xlsr-vlbg
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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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- # xlsr-vlbg
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0589
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- - Wer: 0.4221
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  ## Model description
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@@ -42,29 +42,29 @@ The following hyperparameters were used during training:
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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: 60
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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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- | 10.2457 | 3.56 | 100 | 3.8979 | 1.0 |
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- | 3.3871 | 7.14 | 200 | 2.9923 | 1.0 |
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- | 2.9516 | 10.7 | 300 | 2.9019 | 1.0 |
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- | 2.4874 | 14.28 | 400 | 1.7228 | 0.9452 |
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- | 1.1546 | 17.84 | 500 | 1.0064 | 0.6758 |
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- | 0.5481 | 21.42 | 600 | 0.9380 | 0.5828 |
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- | 0.3193 | 24.98 | 700 | 0.9767 | 0.5367 |
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- | 0.2157 | 28.56 | 800 | 0.9501 | 0.4780 |
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- | 0.168 | 32.14 | 900 | 0.9843 | 0.4711 |
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- | 0.1106 | 35.7 | 1000 | 1.0452 | 0.4623 |
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- | 0.0861 | 39.28 | 1100 | 1.0691 | 0.4515 |
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- | 0.0733 | 42.84 | 1200 | 1.0813 | 0.4241 |
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- | 0.0565 | 46.42 | 1300 | 1.0311 | 0.4486 |
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- | 0.0443 | 49.98 | 1400 | 1.0479 | 0.4329 |
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- | 0.0352 | 53.56 | 1500 | 1.0901 | 0.4221 |
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- | 0.0277 | 57.14 | 1600 | 1.0589 | 0.4221 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ name: bach-arb
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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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+ # bach-arb
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6864
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+ - Wer: 0.7986
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  ## Model description
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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
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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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+ | 14.2075 | 7.14 | 100 | 3.9465 | 1.0 |
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+ | 3.4162 | 14.28 | 200 | 3.0725 | 1.0 |
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+ | 2.9811 | 21.41 | 300 | 2.8973 | 1.0 |
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+ | 2.5037 | 28.55 | 400 | 2.1000 | 1.0192 |
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+ | 1.2743 | 35.69 | 500 | 1.6965 | 0.9448 |
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+ | 0.6392 | 42.83 | 600 | 1.8077 | 0.8657 |
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+ | 0.3871 | 49.97 | 700 | 2.1009 | 0.8585 |
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+ | 0.2691 | 57.14 | 800 | 2.0475 | 0.8201 |
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+ | 0.2032 | 64.28 | 900 | 2.1936 | 0.8537 |
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+ | 0.1437 | 71.41 | 1000 | 2.1932 | 0.8058 |
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+ | 0.1144 | 78.55 | 1100 | 2.3580 | 0.8201 |
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+ | 0.0938 | 85.69 | 1200 | 2.4276 | 0.7938 |
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+ | 0.0672 | 92.83 | 1300 | 2.7036 | 0.8297 |
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+ | 0.055 | 99.97 | 1400 | 2.6035 | 0.7674 |
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+ | 0.0467 | 107.14 | 1500 | 2.7449 | 0.7746 |
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+ | 0.0372 | 114.28 | 1600 | 2.6864 | 0.7986 |
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  ### Framework versions