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Anguuuuus
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enhanced_german

Audio Classification
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Safetensors
wav2vec2
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Anguuuuus commited on
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End of training

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Files changed (11) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Feb01_02-27-05_f4010deb994a/events.out.tfevents.1706754434.f4010deb994a.218.0 +3 -0
  4. runs/Feb01_02-32-51_f4010deb994a/events.out.tfevents.1706754776.f4010deb994a.218.1 +3 -0
  5. runs/Feb01_02-33-47_f4010deb994a/events.out.tfevents.1706754831.f4010deb994a.218.2 +3 -0
  6. runs/Feb01_02-38-53_f4010deb994a/events.out.tfevents.1706755138.f4010deb994a.218.3 +3 -0
  7. runs/Feb01_02-40-58_f4010deb994a/events.out.tfevents.1706755263.f4010deb994a.218.4 +3 -0
  8. runs/Feb01_02-42-04_f4010deb994a/events.out.tfevents.1706755327.f4010deb994a.218.5 +3 -0
  9. runs/Feb01_02-44-13_f4010deb994a/events.out.tfevents.1706755458.f4010deb994a.218.6 +3 -0
  10. runs/Feb01_02-49-01_f4010deb994a/events.out.tfevents.1706755745.f4010deb994a.218.7 +3 -0
  11. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7120
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- - Accuracy: 0.4167
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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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: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6914 | 0.5 |
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- | No log | 2.0 | 2 | 0.7120 | 0.25 |
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- | No log | 3.0 | 3 | 0.7148 | 0.4167 |
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- | No log | 4.0 | 4 | 0.7143 | 0.3333 |
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- | No log | 5.0 | 5 | 0.7164 | 0.25 |
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- | No log | 6.0 | 6 | 0.7076 | 0.3333 |
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- | No log | 7.0 | 7 | 0.7164 | 0.3333 |
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- | No log | 8.0 | 8 | 0.7150 | 0.4167 |
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- | No log | 9.0 | 9 | 0.7134 | 0.4167 |
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- | 0.3329 | 10.0 | 10 | 0.7120 | 0.4167 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6891
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+ - Accuracy: 0.6667
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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: 2e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 0.7047 | 0.3333 |
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+ | No log | 2.0 | 2 | 0.6962 | 0.5 |
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+ | No log | 3.0 | 3 | 0.6878 | 0.5833 |
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+ | No log | 4.0 | 4 | 0.6962 | 0.6667 |
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+ | No log | 5.0 | 5 | 0.6954 | 0.6667 |
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+ | No log | 6.0 | 6 | 0.6951 | 0.5833 |
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+ | No log | 7.0 | 7 | 0.6922 | 0.5833 |
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+ | No log | 8.0 | 8 | 0.6907 | 0.5833 |
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+ | No log | 9.0 | 9 | 0.6899 | 0.5833 |
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+ | 0.3093 | 10.0 | 10 | 0.6891 | 0.6667 |
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  ### Framework versions
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