Roy039 commited on
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1 Parent(s): d1c8f5a

Model save

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README.md CHANGED
@@ -3,7 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
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- - audio-classification
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  - generated_from_trainer
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  datasets:
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  - fleurs
@@ -16,11 +15,11 @@ model-index:
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  name: Audio Classification
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  type: audio-classification
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  dataset:
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- name: google/fleurs
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  type: fleurs
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- config: hi_in
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  split: validation
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- args: hi_in
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  metrics:
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  - name: Accuracy
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  type: accuracy
@@ -32,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-lang-id
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- This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the google/fleurs dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0001
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  - Accuracy: 1.0
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  ## Model description
@@ -68,18 +67,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.002 | 0.9962 | 66 | 0.0001 | 1.0 |
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- | 0.0 | 1.9925 | 132 | 0.0000 | 1.0 |
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- | 0.0 | 2.9887 | 198 | 0.0000 | 1.0 |
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- | 0.0 | 4.0 | 265 | 0.0000 | 1.0 |
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- | 0.0 | 4.9962 | 331 | 0.0000 | 1.0 |
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- | 0.0 | 5.9925 | 397 | 0.0000 | 1.0 |
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- | 0.0 | 6.9887 | 463 | 0.0000 | 1.0 |
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- | 0.0 | 8.0 | 530 | 0.0000 | 1.0 |
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- | 0.0 | 8.9962 | 596 | 0.0000 | 1.0 |
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- | 0.0 | 9.9623 | 660 | 0.0000 | 1.0 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - fleurs
 
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  name: Audio Classification
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  type: audio-classification
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  dataset:
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+ name: fleurs
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  type: fleurs
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+ config: bn_in
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  split: validation
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+ args: bn_in
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  metrics:
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  - name: Accuracy
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  type: accuracy
 
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  # wav2vec2-base-lang-id
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the fleurs dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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  - Accuracy: 1.0
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  ## Model description
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0001 | 1.0 | 94 | 0.0001 | 1.0 |
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+ | 0.0001 | 2.0 | 188 | 0.0000 | 1.0 |
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+ | 0.0 | 3.0 | 282 | 0.0000 | 1.0 |
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+ | 0.0 | 4.0 | 376 | 0.0000 | 1.0 |
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+ | 0.0 | 5.0 | 470 | 0.0000 | 1.0 |
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+ | 0.0 | 6.0 | 564 | 0.0000 | 1.0 |
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+ | 0.0 | 7.0 | 658 | 0.0000 | 1.0 |
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+ | 0.0 | 8.0 | 752 | 0.0000 | 1.0 |
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+ | 0.0 | 9.0 | 846 | 0.0000 | 1.0 |
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+ | 0.0 | 10.0 | 940 | 0.0000 | 1.0 |
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  ### Framework versions
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