arjun commited on
Commit
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End of training

Browse files
README.md ADDED
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+ ---
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+ language:
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+ - ml
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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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_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 Malayalam - Arjun Shaji
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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
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+ type: mozilla-foundation/common_voice_11_0
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+ config: ml
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+ split: None
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+ args: 'config: ml, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 81.60919540229885
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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 Malayalam - Arjun Shaji
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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 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7363
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+ - Wer: 81.6092
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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: 16
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+ - eval_batch_size: 8
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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: 1000
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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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+ | 0.0433 | 18.5185 | 500 | 0.5265 | 94.7126 |
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+ | 0.0144 | 37.0370 | 1000 | 0.5352 | 89.1954 |
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+ | 0.0057 | 55.5556 | 1500 | 0.5989 | 87.5862 |
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+ | 0.0004 | 74.0741 | 2000 | 0.6575 | 82.0690 |
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+ | 0.0 | 92.5926 | 2500 | 0.6616 | 81.6092 |
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+ | 0.0 | 111.1111 | 3000 | 0.6911 | 81.3793 |
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+ | 0.0 | 129.6296 | 3500 | 0.7097 | 81.3793 |
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+ | 0.0 | 148.1481 | 4000 | 0.7232 | 81.3793 |
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+ | 0.0 | 166.6667 | 4500 | 0.7327 | 81.3793 |
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+ | 0.0 | 185.1852 | 5000 | 0.7363 | 81.6092 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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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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