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jcrkn
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wav2vec2-large-xls-r-300m-breton-colab_lr

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
jcrkn commited on
Commit
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End of training

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Files changed (2) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.6886002886002885
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8879
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- - Wer: 0.6886
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 8e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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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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- | 11.0027 | 0.67 | 200 | 4.7141 | 1.0 |
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- | 3.4036 | 1.34 | 400 | 3.0979 | 1.0 |
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- | 2.8188 | 2.02 | 600 | 2.1240 | 0.9991 |
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- | 1.4535 | 2.69 | 800 | 1.2223 | 0.8462 |
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- | 1.0194 | 3.36 | 1000 | 1.0174 | 0.7766 |
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- | 0.812 | 4.03 | 1200 | 0.9330 | 0.7144 |
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- | 0.6531 | 4.71 | 1400 | 0.8879 | 0.6886 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 1.0
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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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  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_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3053
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+ - Wer: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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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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+ | 14.0739 | 0.67 | 200 | 7.9939 | 1.0 |
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+ | 4.5637 | 1.34 | 400 | 3.9380 | 1.0 |
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+ | 3.2975 | 2.02 | 600 | 3.1902 | 1.0 |
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+ | 3.0457 | 2.69 | 800 | 3.1215 | 1.0 |
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+ | 2.8262 | 3.36 | 1000 | 3.1005 | 1.0 |
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+ | 2.2082 | 4.03 | 1200 | 3.2135 | 1.0 |
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+ | 1.7804 | 4.71 | 1400 | 3.3053 | 1.0 |
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  ### Framework versions
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