Maks545curve commited on
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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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+ - pl
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+ license: apache-2.0
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+ base_model: Maks545curve/whisper-small-new-ru-a
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Small new-ru-pl AIIA
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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
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+ type: mozilla-foundation/common_voice_17_0
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+ config: pl
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+ split: test
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+ args: pl
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 16.379563329029228
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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 new-ru-pl AIIA
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+
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+ This model is a fine-tuned version of [Maks545curve/whisper-small-new-ru-a](https://huggingface.co/Maks545curve/whisper-small-new-ru-a) on the Common Voice 17 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3382
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+ - Wer Ortho: 25.7888
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+ - Wer: 16.3796
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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: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 70
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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 Ortho | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.344 | 0.5336 | 500 | 0.3786 | 29.1204 | 18.2225 |
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+ | 0.2073 | 1.0672 | 1000 | 0.3382 | 25.7888 | 16.3796 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.1+cpu
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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