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odunola
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yoruba_whisper

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
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odunola commited on
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training complete

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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. runs/Dec27_22-02-41_f58ebd7f3bdc/events.out.tfevents.1703714562.f58ebd7f3bdc.1185.0 +2 -2
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 [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5111
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- - Wer: 221.1051
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6764 | 0.87 | 1000 | 0.6795 | 266.4845 |
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- | 0.4882 | 1.74 | 2000 | 0.5525 | 380.7616 |
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- | 0.2862 | 2.61 | 3000 | 0.5148 | 201.8339 |
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- | 0.2029 | 3.48 | 4000 | 0.5111 | 221.1051 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5389
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+ - Wer: 56.0826
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 3000
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.5342 | 1.85 | 1000 | 0.5837 | 60.3821 |
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+ | 0.2361 | 3.7 | 2000 | 0.5227 | 58.5009 |
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+ | 0.1185 | 5.56 | 3000 | 0.5389 | 56.0826 |
 
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  ### Framework versions
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