Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: EYEDOL/whisper-tiny-yoruba2
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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: whisper-tiny-yoruba3
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# whisper-tiny-yoruba3
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This model is a fine-tuned version of [EYEDOL/whisper-tiny-yoruba2](https://huggingface.co/EYEDOL/whisper-tiny-yoruba2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7111
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- Wer Ortho: 0.7096
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- Wer: 0.6293
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 32
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 0.1
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- num_epochs: 5
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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 Ortho | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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| 1.4417 | 1.0 | 583 | 0.7132 | 0.7172 | 0.6352 |
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| 1.3179 | 2.0 | 1166 | 0.7039 | 0.6964 | 0.6110 |
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| 1.2151 | 3.0 | 1749 | 0.7038 | 0.7101 | 0.6275 |
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| 1.1268 | 4.0 | 2332 | 0.7058 | 0.7037 | 0.6166 |
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| 1.0504 | 5.0 | 2915 | 0.7111 | 0.7096 | 0.6293 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 151061672
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version https://git-lfs.github.com/spec/v1
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size 151061672
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