jethrowang
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End of training
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README.md
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Cer:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0706
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- Cer: 3.8803
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## Model description
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:------:|:-----:|:---------------:|:-------:|
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| 0.3507 | 0.9993 | 1521 | 0.3448 | 18.5531 |
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| 0.1263 | 1.9987 | 3042 | 0.1418 | 7.4508 |
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| 0.0781 | 2.9980 | 4563 | 0.1043 | 5.2685 |
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| 0.0547 | 3.9974 | 6084 | 0.0880 | 5.2373 |
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| 0.0369 | 4.9967 | 7605 | 0.0800 | 4.4617 |
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| 0.0247 | 5.9961 | 9126 | 0.0752 | 4.1670 |
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| 0.0196 | 6.9954 | 10647 | 0.0721 | 4.0884 |
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| 0.014 | 7.9947 | 12168 | 0.0707 | 3.6676 |
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| 0.0103 | 8.9941 | 13689 | 0.0706 | 3.6757 |
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| 0.0086 | 9.9934 | 15210 | 0.0706 | 3.8803 |
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### Framework versions
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model.safetensors
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runs/Aug13_14-06-31_SOTA/events.out.tfevents.1723529194.SOTA.1705271.0
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