bigmorning
/

whisper_havest_0005

Automatic Speech Recognition

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

bigmorning commited on Nov 11, 2022

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Upload TFWhisperForConditionalGeneration

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README.md +13 -11
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,10 +14,12 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.1591
-- Train Accuracy: 0.0175
-- Validation Loss: 2.8089
-- Validation Accuracy: 0.0198
 - Epoch: 4
 ## Model description
@@ -42,13 +44,13 @@ The following hyperparameters were used during training:
 ### Training results
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 5.0949     | 0.0116         | 4.4444          | 0.0124              | 0     |
-| 4.3242     | 0.0130         | 4.0648          | 0.0140              | 1     |
-| 3.9308     | 0.0145         | 3.6837          | 0.0157              | 2     |
-| 3.5552     | 0.0159         | 3.3410          | 0.0171              | 3     |
-| 3.1591     | 0.0175         | 2.8089          | 0.0198              | 4     |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 6.4115
+- Train Accuracy: 0.0115
+- Train Do Wer: 1.0
+- Validation Loss: 6.2357
+- Validation Accuracy: 0.0115
+- Validation Do Wer: 1.0
 - Epoch: 4
 ## Model description
 ### Training results
+| Train Loss | Train Accuracy | Train Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch |
+|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
+| 9.9191     | 0.0046         | 1.0          | 8.5836          | 0.0067              | 1.0               | 0     |
+| 8.0709     | 0.0083         | 1.0          | 7.4667          | 0.0089              | 1.0               | 1     |
+| 7.1652     | 0.0100         | 1.0          | 6.8204          | 0.0112              | 1.0               | 2     |
+| 6.7196     | 0.0114         | 1.0          | 6.5192          | 0.0114              | 1.0               | 3     |
+| 6.4115     | 0.0115         | 1.0          | 6.2357          | 0.0115              | 1.0               | 4     |
 ### Framework versions

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