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whisper_new_split_ch_08__0005

Automatic Speech Recognition
Transformers
TensorFlow
whisper
generated_from_keras_callback
Inference Endpoints
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Upload TFWhisperForConditionalGeneration

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  1. README.md +13 -10
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,12 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 4.1588
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- - Train Accuracy: 0.0111
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- - Train Wermet: 6.9059
 
 
 
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  - Epoch: 4
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  ## Model description
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  ### Training results
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- | Train Loss | Train Accuracy | Train Wermet | Epoch |
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- |:----------:|:--------------:|:------------:|:-----:|
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- | 7.0502 | 0.0020 | 5.6150 | 0 |
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- | 5.6527 | 0.0046 | 11.3162 | 1 |
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- | 4.8654 | 0.0085 | 4.8190 | 2 |
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- | 4.4295 | 0.0107 | 5.4574 | 3 |
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- | 4.1588 | 0.0111 | 6.9059 | 4 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.0288
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+ - Train Accuracy: 0.0397
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+ - Train Wermet: 6.0799
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+ - Validation Loss: 1.9309
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+ - Validation Accuracy: 0.0265
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+ - Validation Wermet: 13.6220
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  - Epoch: 4
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  ## Model description
 
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  ### Training results
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+ | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
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+ |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
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+ | 2.9538 | 0.0228 | 5.6932 | 2.4237 | 0.0203 | 14.2654 | 0 |
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+ | 2.4052 | 0.0321 | 6.0897 | 2.1989 | 0.0229 | 15.5551 | 1 |
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+ | 2.2222 | 0.0358 | 6.1102 | 2.0871 | 0.0245 | 13.4374 | 2 |
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+ | 2.1102 | 0.0380 | 6.0428 | 1.9986 | 0.0253 | 13.7934 | 3 |
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+ | 2.0288 | 0.0397 | 6.0799 | 1.9309 | 0.0265 | 13.6220 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
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  size 151253960
 
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