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wav2vec2-base-alffaamharic-google-colab

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
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End of training

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  1. README.md +30 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: Samuael/wav2vec2-base-alffaamharic-google-colab
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: wav2vec2-base-alffaamharic-google-colab
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  results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Samuael/wav2vec2-base-alffaamharic-google-colab](https://huggingface.co/Samuael/wav2vec2-base-alffaamharic-google-colab) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.4955
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- - eval_wer: 0.3695
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- - eval_runtime: 21.8311
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- - eval_samples_per_second: 16.444
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- - eval_steps_per_second: 2.061
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- - epoch: 20.0
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- - step: 6800
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  ## Model description
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@@ -49,6 +46,32 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 30
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  ### Framework versions
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  - Transformers 4.33.3
 
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  base_model: Samuael/wav2vec2-base-alffaamharic-google-colab
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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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  model-index:
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  - name: wav2vec2-base-alffaamharic-google-colab
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  results: []
 
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  This model is a fine-tuned version of [Samuael/wav2vec2-base-alffaamharic-google-colab](https://huggingface.co/Samuael/wav2vec2-base-alffaamharic-google-colab) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6124
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+ - Wer: 0.3502
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 30
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.1622 | 1.44 | 200 | 0.4605 | 0.3455 |
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+ | 0.1619 | 2.88 | 400 | 0.5327 | 0.3658 |
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+ | 0.1566 | 4.32 | 600 | 0.5235 | 0.3834 |
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+ | 0.246 | 5.76 | 800 | 0.5781 | 0.4329 |
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+ | 0.3211 | 7.19 | 1000 | 0.6142 | 0.4535 |
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+ | 0.2705 | 8.63 | 1200 | 0.6172 | 0.4519 |
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+ | 0.2113 | 10.07 | 1400 | 0.6140 | 0.4111 |
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+ | 0.2642 | 11.51 | 1600 | 0.6020 | 0.4527 |
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+ | 0.2881 | 12.95 | 1800 | 0.5931 | 0.4393 |
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+ | 0.1801 | 14.39 | 2000 | 0.6565 | 0.4262 |
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+ | 0.1494 | 15.83 | 2200 | 0.5732 | 0.4003 |
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+ | 0.1684 | 17.27 | 2400 | 0.6419 | 0.4071 |
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+ | 0.1805 | 18.71 | 2600 | 0.5973 | 0.4005 |
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+ | 0.1518 | 20.14 | 2800 | 0.5846 | 0.3821 |
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+ | 0.0821 | 21.58 | 3000 | 0.6149 | 0.3764 |
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+ | 0.1049 | 23.02 | 3200 | 0.5965 | 0.3724 |
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+ | 0.1229 | 24.46 | 3400 | 0.6032 | 0.3671 |
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+ | 0.0848 | 25.9 | 3600 | 0.6005 | 0.3605 |
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+ | 0.0724 | 27.34 | 3800 | 0.6258 | 0.3634 |
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+ | 0.1149 | 28.78 | 4000 | 0.6124 | 0.3502 |
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+
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+
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  ### Framework versions
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  - Transformers 4.33.3
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