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training complete

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Files changed (3) hide show
  1. README.md +7 -8
  2. generation_config.json +251 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # yoruba_whisper
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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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@@ -44,16 +44,15 @@ The following hyperparameters were used during training:
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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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  ---
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  license: apache-2.0
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+ base_model: odunola/yoruba_whisper
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # yoruba_whisper
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+ This model is a fine-tuned version of [odunola/yoruba_whisper](https://huggingface.co/odunola/yoruba_whisper) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4023
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+ - Wer: 49.2215
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  ## Model description
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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: 2000
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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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+ | 0.3182 | 1.85 | 1000 | 0.4067 | 50.5848 |
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+ | 0.1219 | 3.7 | 2000 | 0.4023 | 49.2215 |
 
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  ### Framework versions
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