hiwden00
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multiclass-fz-enc-tiny-en

Automatic Speech Recognition

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hiwden00 commited on Oct 1, 2024

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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-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1596
-- Wer: 21.1301
-- Cer: 17.7602
 ## Model description
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
-| 0.1904        | 4.5872  | 500  | 0.3362          | 519.8481 | 547.0715 |
-| 0.014         | 9.1743  | 1000 | 0.1819          | 17.2365  | 18.1553  |
-| 0.0017        | 13.7615 | 1500 | 0.1720          | 12.1083  | 7.9955   |
-| 0.0008        | 18.3486 | 2000 | 0.1668          | 12.3932  | 11.7657  |
-| 0.0005        | 22.9358 | 2500 | 0.1640          | 12.2032  | 11.8430  |
-| 0.0004        | 27.5229 | 3000 | 0.1622          | 11.9658  | 11.7056  |
-| 0.0003        | 32.1101 | 3500 | 0.1615          | 11.8234  | 7.7808   |
-| 0.0003        | 36.6972 | 4000 | 0.1605          | 21.3675  | 17.9320  |
-| 0.0002        | 41.2844 | 4500 | 0.1596          | 21.1301  | 17.7602  |
-| 0.0002        | 45.8716 | 5000 | 0.1596          | 21.1301  | 17.7602  |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1601
+- Wer: 11.4435
+- Cer: 7.4545
 ## Model description
 | Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
+| 0.1904        | 4.5872  | 500  | 0.3361          | 511.2061 | 542.4081 |
+| 0.0141        | 9.1743  | 1000 | 0.1815          | 17.2365  | 18.1553  |
+| 0.0016        | 13.7615 | 1500 | 0.1727          | 12.1557  | 11.6798  |
+| 0.0008        | 18.3486 | 2000 | 0.1674          | 12.3932  | 11.7657  |
+| 0.0005        | 22.9358 | 2500 | 0.1645          | 12.1083  | 11.8945  |
+| 0.0004        | 27.5229 | 3000 | 0.1628          | 11.9183  | 11.6970  |
+| 0.0003        | 32.1101 | 3500 | 0.1620          | 11.8708  | 7.8409   |
+| 0.0003        | 36.6972 | 4000 | 0.1610          | 21.3675  | 17.9320  |
+| 0.0002        | 41.2844 | 4500 | 0.1601          | 11.4910  | 7.4631   |
+| 0.0002        | 45.8716 | 5000 | 0.1601          | 11.4435  | 7.4545   |
 ### Framework versions