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End of training

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  1. README.md +35 -2
  2. training_args.bin +1 -1
README.md CHANGED
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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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- base_model: mattbonnell/wav2vec2-base-wonders-phonemes
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  datasets:
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  - transcribed_calls
 
 
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  model-index:
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  - name: wav2vec2-base-wonders-phonemes
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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
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-wonders-phonemes
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  This model is a fine-tuned version of [mattbonnell/wav2vec2-base-wonders-phonemes](https://huggingface.co/mattbonnell/wav2vec2-base-wonders-phonemes) on the transcribed_calls dataset.
 
 
 
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  ## Model description
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@@ -42,9 +60,24 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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  - num_epochs: 30
 
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  ### Training results
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: mattbonnell/wav2vec2-base-wonders-phonemes
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - transcribed_calls
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+ metrics:
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+ - wer
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  model-index:
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  - name: wav2vec2-base-wonders-phonemes
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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: transcribed_calls
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+ type: transcribed_calls
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+ config: default
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+ split: None
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+ args: default
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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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  # wav2vec2-base-wonders-phonemes
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  This model is a fine-tuned version of [mattbonnell/wav2vec2-base-wonders-phonemes](https://huggingface.co/mattbonnell/wav2vec2-base-wonders-phonemes) on the transcribed_calls dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Wer: 1.0
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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  - num_epochs: 30
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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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+ | 0.0 | 2.5 | 5 | nan | 1.0 |
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+ | 0.0 | 5.0 | 10 | nan | 1.0 |
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+ | 0.0 | 7.5 | 15 | nan | 1.0 |
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+ | 0.0 | 10.0 | 20 | nan | 1.0 |
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+ | 0.0 | 12.5 | 25 | nan | 1.0 |
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+ | 0.0 | 15.0 | 30 | nan | 1.0 |
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+ | 0.0 | 17.5 | 35 | nan | 1.0 |
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+ | 0.0 | 20.0 | 40 | nan | 1.0 |
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+ | 0.0 | 22.5 | 45 | nan | 1.0 |
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+ | 0.0 | 25.0 | 50 | nan | 1.0 |
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+ | 0.0 | 27.5 | 55 | nan | 1.0 |
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+ | 0.0 | 30.0 | 60 | nan | 1.0 |
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  ### Framework versions
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