Model save
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README.md
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@@ -3,8 +3,6 @@ library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-1b
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tags:
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- automatic-speech-recognition
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- natbed
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- generated_from_trainer
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metrics:
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- wer
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@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# xls-r-1b-bem-natbed-combined-model
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 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:
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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 Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-1b
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tags:
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- generated_from_trainer
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metrics:
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- wer
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# xls-r-1b-bem-natbed-combined-model
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7032
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- Wer: 0.7424
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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: 0.0003
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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 Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 5.0296 | 0.2503 | 100 | 2.8071 | 1.0 |
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| 1.5792 | 0.5006 | 200 | 1.1184 | 0.9645 |
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| 1.1422 | 0.7509 | 300 | 1.0389 | 0.9606 |
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| 0.9883 | 1.0013 | 400 | 1.0494 | 0.9989 |
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| 0.8999 | 1.2516 | 500 | 0.8692 | 0.8683 |
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| 0.9135 | 1.5019 | 600 | 0.8564 | 0.8430 |
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| 0.8898 | 1.7522 | 700 | 0.8451 | 0.8522 |
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| 0.9089 | 2.0025 | 800 | 0.8857 | 0.8485 |
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| 0.8292 | 2.2528 | 900 | 0.8662 | 0.8580 |
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| 0.7921 | 2.5031 | 1000 | 0.7964 | 0.7969 |
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| 0.7983 | 2.7534 | 1100 | 0.7896 | 0.7951 |
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| 0.7946 | 3.0038 | 1200 | 0.7667 | 0.7947 |
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| 0.7488 | 3.2541 | 1300 | 0.8180 | 0.8495 |
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| 0.7428 | 3.5044 | 1400 | 0.7548 | 0.7688 |
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| 0.7256 | 3.7547 | 1500 | 0.7258 | 0.7596 |
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| 0.741 | 4.0050 | 1600 | 0.7665 | 0.7718 |
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| 0.6775 | 4.2553 | 1700 | 0.7922 | 0.7775 |
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| 0.6795 | 4.5056 | 1800 | 0.7026 | 0.7512 |
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| 0.683 | 4.7559 | 1900 | 0.7051 | 0.7225 |
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| 0.6838 | 5.0063 | 2000 | 0.7196 | 0.7503 |
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| 0.6005 | 5.2566 | 2100 | 0.7032 | 0.7424 |
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### Framework versions
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model.safetensors
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