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  1. README.md +25 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -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
@@ -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 the NATBED - BEM dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6600
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- - Wer: 0.7043
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  ## Model description
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@@ -40,7 +38,7 @@ 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: 5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -56,17 +54,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 6.1525 | 0.2503 | 100 | 2.9906 | 1.0 |
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- | 2.8477 | 0.5006 | 200 | 2.3722 | 1.0 |
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- | 1.3216 | 0.7509 | 300 | 0.8615 | 0.8820 |
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- | 0.8219 | 1.0013 | 400 | 0.8089 | 0.8602 |
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- | 0.718 | 1.2516 | 500 | 0.7155 | 0.7755 |
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- | 0.6985 | 1.5019 | 600 | 0.7212 | 0.6726 |
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- | 0.669 | 1.7522 | 700 | 0.6838 | 0.7244 |
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- | 0.6842 | 2.0025 | 800 | 0.6600 | 0.7043 |
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- | 0.5908 | 2.2528 | 900 | 0.8212 | 0.8629 |
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- | 0.5575 | 2.5031 | 1000 | 0.6883 | 0.7400 |
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- | 0.583 | 2.7534 | 1100 | 0.7891 | 0.8345 |
 
 
 
 
 
 
 
 
 
 
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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
model.safetensors CHANGED
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