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End of training

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  1. README.md +11 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 97.14285714285714
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Whisper for Igbo 1.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.5994
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- - Wer: 97.1429
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  ## Model description
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@@ -61,24 +61,20 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 10
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- - training_steps: 100
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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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- | No log | 10.0 | 10 | 3.4658 | 108.5714 |
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- | No log | 20.0 | 20 | 3.5388 | 105.7143 |
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- | 0.0225 | 30.0 | 30 | 3.5858 | 97.1429 |
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- | 0.0225 | 40.0 | 40 | 3.5922 | 97.1429 |
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- | 0.0002 | 50.0 | 50 | 3.5956 | 97.1429 |
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- | 0.0002 | 60.0 | 60 | 3.5987 | 97.1429 |
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- | 0.0002 | 70.0 | 70 | 3.5995 | 97.1429 |
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- | 0.0001 | 80.0 | 80 | 3.6001 | 97.1429 |
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- | 0.0001 | 90.0 | 90 | 3.6014 | 97.1429 |
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- | 0.0001 | 100.0 | 100 | 3.5994 | 97.1429 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 100.0
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Whisper for Igbo 1.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.9958
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+ - Wer: 100.0
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 25
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+ - training_steps: 300
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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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+ | 0.0 | 50.0 | 50 | 4.6220 | 100.0 |
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+ | 0.0 | 100.0 | 100 | 5.1929 | 105.7143 |
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+ | 0.0 | 150.0 | 150 | 5.5613 | 108.5714 |
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+ | 0.0 | 200.0 | 200 | 5.8296 | 97.1429 |
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+ | 0.0 | 250.0 | 250 | 5.9560 | 100.0 |
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+ | 0.0 | 300.0 | 300 | 5.9958 | 100.0 |
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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