hiwden00
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fs-w-xavier-base

Automatic Speech Recognition

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hiwden00 commited on Oct 5

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@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3748
-- Wer: 90.8832
-- Cer: 69.2460
 ## Model description
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer     |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
-| 3.8293        | 4.5872  | 500  | 3.9014          | 98.4330  | 73.8234 |
-| 0.9253        | 9.1743  | 1000 | 1.1787          | 101.2821 | 77.9887 |
-| 0.3997        | 13.7615 | 1500 | 0.6684          | 98.9079  | 76.8980 |
-| 0.3313        | 18.3486 | 2000 | 0.4931          | 97.4359  | 79.5259 |
-| 0.2974        | 22.9358 | 2500 | 0.4656          | 109.0693 | 83.0385 |
-| 0.2635        | 27.5229 | 3000 | 0.4219          | 103.5138 | 78.6843 |
-| 0.2241        | 32.1101 | 3500 | 0.4047          | 100.5698 | 77.2587 |
-| 0.1939        | 36.6972 | 4000 | 0.3893          | 89.9810  | 69.3404 |
-| 0.1718        | 41.2844 | 4500 | 0.3807          | 87.8443  | 67.3738 |
-| 0.1471        | 45.8716 | 5000 | 0.3748          | 90.8832  | 69.2460 |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3940
+- Wer: 97.2460
+- Cer: 75.7386
 ## Model description
 | Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer     |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
+| 3.7367        | 4.5872  | 500  | 3.7672          | 106.7426 | 75.6699 |
+| 0.9212        | 9.1743  | 1000 | 1.1453          | 112.3457 | 89.8145 |
+| 0.4126        | 13.7615 | 1500 | 0.6488          | 104.0361 | 81.1491 |
+| 0.3365        | 18.3486 | 2000 | 0.5043          | 106.0304 | 81.9048 |
+| 0.304         | 22.9358 | 2500 | 0.4632          | 109.7341 | 85.4174 |
+| 0.2752        | 27.5229 | 3000 | 0.4296          | 103.2764 | 79.6633 |
+| 0.2388        | 32.1101 | 3500 | 0.4201          | 101.7569 | 78.3494 |
+| 0.218         | 36.6972 | 4000 | 0.4022          | 98.6705  | 76.3140 |
+| 0.1995        | 41.2844 | 4500 | 0.3983          | 98.4330  | 76.5201 |
+| 0.1743        | 45.8716 | 5000 | 0.3940          | 97.2460  | 75.7386 |
 ### Framework versions