whisper-hindi-small

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-hindi-small
 
-This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on the None dataset.
+This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1972
-- Wer: 19.6516
+- Loss: 0.2106
+- Wer: 16.3763
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1187        | 0.9   | 250  | 0.1903          | 24.5993 |
-| 0.0532        | 1.8   | 500  | 0.1903          | 22.5784 |
-| 0.0218        | 2.7   | 750  | 0.1930          | 20.1394 |
-| 0.0064        | 3.6   | 1000 | 0.1972          | 19.6516 |
+| 0.0001        | 50.0  | 250  | 0.1925          | 16.5157 |
+| 0.0           | 100.0 | 500  | 0.2046          | 16.2369 |
+| 0.0           | 150.0 | 750  | 0.2092          | 16.3763 |
+| 0.0           | 200.0 | 1000 | 0.2106          | 16.3763 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2f6fb79a419f89ca698a4d5711f8db76955d57b252da72944ebd066b28e6bb2
+oid sha256:3146938d8a74075a3fbb40771c3e93af529a14aed11f16d2d25911f72d00f649
 size 967102729