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End of training

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  1. README.md +12 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -2,7 +2,7 @@
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  tags:
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  - generated_from_trainer
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  datasets:
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- - common_voice_13_0
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  model-index:
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  - name: wav2vec2-large-xls-r-300m-ipa
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  results: []
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-large-xls-r-300m-ipa
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- This model was trained from scratch on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3844
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  ## Model description
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@@ -43,17 +43,19 @@ 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: 10
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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 |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.302 | 2.2222 | 50 | 0.3872 |
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- | 0.219 | 4.4444 | 100 | 0.3774 |
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- | 0.2085 | 6.6667 | 150 | 0.4117 |
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- | 0.1638 | 8.8889 | 200 | 0.3844 |
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - common_voice_17_0
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  model-index:
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  - name: wav2vec2-large-xls-r-300m-ipa
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  results: []
 
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  # wav2vec2-large-xls-r-300m-ipa
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+ This model was trained from scratch on the common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7900
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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: 15
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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 |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 7.2967 | 2.2222 | 50 | 7.3217 |
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+ | 3.9212 | 4.4444 | 100 | 4.1064 |
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+ | 3.2366 | 6.6667 | 150 | 3.3641 |
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+ | 3.1466 | 8.8889 | 200 | 3.3592 |
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+ | 3.0562 | 11.1111 | 250 | 3.1385 |
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+ | 0.6813 | 13.3333 | 300 | 0.7900 |
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  ### Framework versions
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