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.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ language:
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+ - et
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+ license: apache-2.0
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+ tags:
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+ - whisper-event
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Small et - Common Voice+FLEURS
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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 11.0, FLEURS
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+ type: mozilla-foundation/common_voice_11_0
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+ config: null
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+ split: None
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 42.48444526581655
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+ ---
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+
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+
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+ # Whisper Small et - Common Voice+FLEURS
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0, FLEURS dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8754
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+ - Wer: 42.4844
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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: 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: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 5000
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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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+ | 0.0094 | 10.0 | 1000 | 0.7125 | 43.4085 |
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+ | 0.0024 | 20.01 | 2000 | 0.7960 | 42.1795 |
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+ | 0.0012 | 30.01 | 3000 | 0.8237 | 41.8961 |
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+ | 0.0006 | 40.02 | 4000 | 0.8627 | 41.7853 |
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+ | 0.0004 | 51.0 | 5000 | 0.8754 | 42.4844 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.13.0+cu117
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+ - Datasets 2.7.1.dev0
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+ - Tokenizers 0.13.2
README.md CHANGED
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  value: 42.48444526581655
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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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  # Whisper Small et - Common Voice+FLEURS
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  value: 42.48444526581655
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  ---
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  # Whisper Small et - Common Voice+FLEURS
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