End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value:
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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:
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- Wer:
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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:
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- training_steps:
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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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| 0.0002 | 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
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model.safetensors
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