bigmorning
/

whisper_new_split_ch_08__0005

Automatic Speech Recognition

generated_from_keras_callback

Inference Endpoints

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bigmorning commited on Aug 8, 2023

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Upload TFWhisperForConditionalGeneration

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

README.md CHANGED Viewed

@@ -15,12 +15,12 @@ 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: 3.0948
-- Train Accuracy: 0.0343
-- Train Wermet: 0.0859
-- Validation Loss: 3.0780
-- Validation Accuracy: 0.0341
-- Validation Wermet: 0.0021
 - Epoch: 4
 ## Model description
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
 |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
-| 5.1494     | 0.0196         | 3.7403       | 4.3409          | 0.0256              | 0.7553            | 0     |
-| 4.0236     | 0.0274         | 0.6316       | 3.6960          | 0.0302              | 0.1658            | 1     |
-| 3.5216     | 0.0312         | 0.1467       | 3.3497          | 0.0311              | 0.0012            | 2     |
-| 3.2259     | 0.0330         | 0.0850       | 3.1532          | 0.0337              | 0.0023            | 3     |
-| 3.0948     | 0.0343         | 0.0859       | 3.0780          | 0.0341              | 0.0021            | 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: 1.5253
+- Train Accuracy: 0.0624
+- Train Wermet: 3.4109
+- Validation Loss: 1.4444
+- Validation Accuracy: 0.0400
+- Validation Wermet: 9.4755
 - Epoch: 4
 ## Model description
 | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
 |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
+| 2.3877     | 0.0442         | 1.0815       | 1.8406          | 0.0334              | 4.7983            | 0     |
+| 1.7865     | 0.0557         | 1.3855       | 1.6832          | 0.0357              | 5.7831            | 1     |
+| 1.6642     | 0.0589         | 2.5519       | 1.6045          | 0.0371              | 8.4362            | 2     |
+| 1.5873     | 0.0608         | 3.0818       | 1.5454          | 0.0381              | 10.0064           | 3     |
+| 1.5253     | 0.0624         | 3.4109       | 1.4444          | 0.0400              | 9.4755            | 4     |
 ### Framework versions

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