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README.md ADDED
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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-hausa1
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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-hausa2
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+ results: []
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+ ---
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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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+
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+ # whisper-tiny-hausa2
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+
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+ This model is a fine-tuned version of [EYEDOL/whisper-tiny-hausa1](https://huggingface.co/EYEDOL/whisper-tiny-hausa1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6946
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+ - Wer Ortho: 0.5454
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+ - Wer: 0.4809
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 1.2967 | 1.0 | 665 | 0.6307 | 0.5191 | 0.4636 |
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+ | 1.1962 | 2.0 | 1330 | 0.6195 | 0.5019 | 0.4473 |
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+ | 1.0667 | 3.0 | 1995 | 0.6200 | 0.5036 | 0.4456 |
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+ | 0.9621 | 4.0 | 2660 | 0.6227 | 0.5083 | 0.4455 |
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+ | 0.8693 | 5.0 | 3325 | 0.6323 | 0.5126 | 0.4540 |
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+ | 0.7838 | 6.0 | 3990 | 0.6426 | 0.5192 | 0.4556 |
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+ | 0.7056 | 7.0 | 4655 | 0.6494 | 0.5218 | 0.4650 |
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+ | 0.6303 | 8.0 | 5320 | 0.6652 | 0.5369 | 0.4758 |
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+ | 0.5595 | 9.0 | 5985 | 0.6766 | 0.5332 | 0.4736 |
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+ | 0.4927 | 10.0 | 6650 | 0.6946 | 0.5454 | 0.4809 |
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+
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+
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+ ### Framework versions
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+
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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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