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End of training

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  1. README.md +70 -0
  2. generation_config.json +240 -0
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: openai/whisper-tiny
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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-akan
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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-akan
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1096
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+ - Wer: 45.1603
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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: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.4793 | 10.0 | 250 | 0.7459 | 53.4739 |
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+ | 0.0732 | 20.0 | 500 | 0.9086 | 49.4656 |
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+ | 0.0309 | 30.0 | 750 | 1.0036 | 47.3278 |
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+ | 0.0132 | 40.0 | 1000 | 1.0760 | 46.8230 |
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+ | 0.005 | 50.0 | 1250 | 1.0944 | 45.3088 |
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+ | 0.002 | 60.0 | 1500 | 1.0899 | 44.5368 |
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+ | 0.0006 | 70.0 | 1750 | 1.1071 | 45.0416 |
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+ | 0.0005 | 80.0 | 2000 | 1.1096 | 45.1603 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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