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whisper-small-minds14

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whisper
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  1. README.md +68 -0
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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: Wsassi/whisper-small-minds14
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-small-minds14
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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-small-minds14
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+
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+ This model is a fine-tuned version of [Wsassi/whisper-small-minds14](https://huggingface.co/Wsassi/whisper-small-minds14) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2677
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+ - Wer: 6.4516
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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: 4
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+ - eval_batch_size: 4
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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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+ - training_steps: 200
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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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+ | 2.2898 | 12.5 | 25 | 2.8612 | 3.2258 |
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+ | 2.0737 | 25.0 | 50 | 2.1099 | 3.2258 |
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+ | 1.4161 | 37.5 | 75 | 1.6899 | 3.2258 |
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+ | 1.2353 | 50.0 | 100 | 1.4505 | 3.2258 |
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+ | 1.1164 | 62.5 | 125 | 1.3412 | 3.2258 |
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+ | 1.1138 | 75.0 | 150 | 1.2952 | 6.4516 |
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+ | 0.9938 | 87.5 | 175 | 1.2741 | 6.4516 |
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+ | 1.0179 | 100.0 | 200 | 1.2677 | 6.4516 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0+cu118
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+ - Datasets 2.19.2
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+ - Tokenizers 0.15.1
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