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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - fleurs
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: breeze-listen-dsw-base-kn
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: fleurs
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+ type: fleurs
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+ config: kn_in
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+ split: test
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+ args: kn_in
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 31.10585305105853
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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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+ # breeze-listen-dsw-base-kn
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2549
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+ - Wer: 31.1059
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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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+ - distributed_type: multi-GPU
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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: 1000
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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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+ | 0.7196 | 1.03 | 100 | 0.5166 | 55.2130 |
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+ | 0.2769 | 2.06 | 200 | 0.2532 | 36.1594 |
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+ | 0.1896 | 4.02 | 300 | 0.2167 | 32.7298 |
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+ | 0.1384 | 5.04 | 400 | 0.2037 | 31.8356 |
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+ | 0.1099 | 7.0 | 500 | 0.2030 | 31.0560 |
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+ | 0.0707 | 8.03 | 600 | 0.2153 | 31.2453 |
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+ | 0.052 | 9.06 | 700 | 0.2258 | 30.6127 |
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+ | 0.0375 | 11.02 | 800 | 0.2413 | 31.2204 |
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+ | 0.0256 | 12.05 | 900 | 0.2507 | 31.0635 |
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+ | 0.0245 | 14.01 | 1000 | 0.2549 | 31.1059 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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