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  1. README.md +98 -0
  2. generation_config.json +240 -0
README.md ADDED
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+ ---
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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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+ - 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-tiny-common_voice_17_0-id
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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: common_voice_17_0
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+ config: id
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+ split: None
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+ args: id
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.1807044410413476
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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-common_voice_17_0-id
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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: 0.2000
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+ - Wer: 0.1807
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 20000
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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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+ | 0.4911 | 0.4229 | 1000 | 0.4546 | 0.3321 |
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+ | 0.4078 | 0.8458 | 2000 | 0.3520 | 0.2807 |
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+ | 0.2679 | 1.2688 | 3000 | 0.3050 | 0.2421 |
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+ | 0.2423 | 1.6917 | 4000 | 0.2725 | 0.2217 |
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+ | 0.169 | 2.1146 | 5000 | 0.2515 | 0.2184 |
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+ | 0.1646 | 2.5375 | 6000 | 0.2377 | 0.2082 |
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+ | 0.1731 | 2.9605 | 7000 | 0.2189 | 0.1911 |
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+ | 0.1017 | 3.3834 | 8000 | 0.2135 | 0.1970 |
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+ | 0.0985 | 3.8063 | 9000 | 0.2077 | 0.1819 |
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+ | 0.0828 | 4.2292 | 10000 | 0.2070 | 0.1792 |
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+ | 0.06 | 4.6521 | 11000 | 0.1991 | 0.1826 |
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+ | 0.0629 | 5.0751 | 12000 | 0.2012 | 0.1918 |
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+ | 0.0545 | 5.4980 | 13000 | 0.2017 | 0.1864 |
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+ | 0.0392 | 5.9209 | 14000 | 0.1985 | 0.1910 |
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+ | 0.0338 | 6.3438 | 15000 | 0.1989 | 0.1807 |
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+ | 0.0312 | 6.7668 | 16000 | 0.1982 | 0.1945 |
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+ | 0.0237 | 7.1897 | 17000 | 0.1998 | 0.1842 |
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+ | 0.0223 | 7.6126 | 18000 | 0.1994 | 0.1800 |
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+ | 0.0192 | 8.0355 | 19000 | 0.1993 | 0.1806 |
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+ | 0.0158 | 8.4584 | 20000 | 0.2000 | 0.1807 |
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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 2.1.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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