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End of training

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README.md CHANGED
@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0420
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- - Cer: 1.6564
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 64
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  - eval_batch_size: 32
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  - seed: 42
@@ -51,18 +51,18 @@ The following hyperparameters were used during training:
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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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- | 0.134 | 0.9993 | 1521 | 0.1394 | 9.3811 |
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- | 0.0675 | 1.9987 | 3042 | 0.0847 | 6.3469 |
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- | 0.0397 | 2.9980 | 4563 | 0.0680 | 3.9092 |
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- | 0.0219 | 3.9974 | 6084 | 0.0581 | 3.0446 |
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- | 0.0118 | 4.9967 | 7605 | 0.0527 | 2.8053 |
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- | 0.0062 | 5.9961 | 9126 | 0.0511 | 2.5961 |
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- | 0.0038 | 6.9954 | 10647 | 0.0479 | 2.1037 |
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- | 0.002 | 7.9947 | 12168 | 0.0439 | 1.8390 |
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- | 0.0005 | 8.9941 | 13689 | 0.0424 | 1.7049 |
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- | 0.0002 | 9.9934 | 15210 | 0.0420 | 1.6564 |
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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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