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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - ta
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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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+ datasets:
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+ - fixie-ai/common_voice_17_0
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+ - google/fleurs
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Tiny ta
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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: Common Voice 17.0
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+ type: fixie-ai/common_voice_17_0
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 75.4221895892105
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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 ta
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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 Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4798
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+ - Wer: 75.4222
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+ - Cer: 21.7188
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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: 64
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+ - eval_batch_size: 64
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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_ratio: 0.04
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+ - training_steps: 5000
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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 | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
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+ | 0.4252 | 0.2 | 1000 | 0.5015 | 76.9190 | 22.6354 |
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+ | 0.4034 | 0.4 | 2000 | 0.4818 | 75.6283 | 21.8341 |
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+ | 0.4708 | 1.1734 | 3000 | 0.4798 | 75.1697 | 21.4852 |
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+ | 0.4435 | 1.3734 | 4000 | 0.4797 | 75.3011 | 21.6158 |
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+ | 0.457 | 2.1468 | 5000 | 0.4798 | 75.4222 | 21.7188 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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