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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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+ - PolyAI/minds14
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-tiny
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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: PolyAI/minds14
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+ type: PolyAI/minds14
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+ config: en-US
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+ split: train
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+ args: en-US
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.2926102502979738
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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
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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 PolyAI/minds14 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6649
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+ - Wer Ortho: 0.2984
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+ - Wer: 0.2926
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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: 16
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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: 50
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+ - training_steps: 750
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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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+ | 0.3212 | 3.57 | 100 | 0.4962 | 0.3115 | 0.2974 |
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+ | 0.0362 | 7.14 | 200 | 0.5397 | 0.3096 | 0.2980 |
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+ | 0.0045 | 10.71 | 300 | 0.5860 | 0.2984 | 0.2878 |
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+ | 0.0015 | 14.29 | 400 | 0.6235 | 0.3077 | 0.3027 |
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+ | 0.0015 | 17.86 | 500 | 0.6388 | 0.2984 | 0.2938 |
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+ | 0.0006 | 21.43 | 600 | 0.6467 | 0.2996 | 0.2962 |
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+ | 0.0006 | 25.0 | 700 | 0.6649 | 0.2984 | 0.2926 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.1
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+ - Tokenizers 0.13.3