End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9478
-- Bleu: 13.5115
+- Loss: 1.7756
+- Bleu: 25.3308
 
 ## Model description
 
@@ -49,13 +49,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step  | Validation Loss | Bleu    |
-|:-------------:|:-------:|:-----:|:---------------:|:-------:|
-| 0.2614        | 4.9200  | 4000  | 1.7721          | 11.6444 |
-| 0.021         | 9.8401  | 8000  | 2.2952          | 12.5013 |
-| 0.0057        | 14.7601 | 12000 | 2.6149          | 13.0809 |
-| 0.0016        | 19.6802 | 16000 | 2.7852          | 13.0534 |
-| 0.0005        | 24.6002 | 20000 | 2.9478          | 13.5115 |
+| Training Loss | Epoch  | Step  | Validation Loss | Bleu    |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 1.1851        | 0.8941 | 2000  | 1.1864          | 18.7395 |
+| 0.8701        | 1.7881 | 4000  | 1.1268          | 22.3615 |
+| 0.566         | 2.6822 | 6000  | 1.1656          | 24.4993 |
+| 0.3238        | 3.5762 | 8000  | 1.2711          | 25.1466 |
+| 0.1725        | 4.4703 | 10000 | 1.3854          | 24.7036 |
+| 0.0821        | 5.3643 | 12000 | 1.4924          | 25.2531 |
+| 0.0424        | 6.2584 | 14000 | 1.5961          | 24.4800 |
+| 0.018         | 7.1524 | 16000 | 1.6757          | 24.8197 |
+| 0.0101        | 8.0465 | 18000 | 1.7439          | 25.1500 |
+| 0.0089        | 8.9405 | 20000 | 1.7756          | 25.3308 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bdd69937dfa7491da2b4e4973075273c3a50dc1ecfd904a983415a82c0440e97
+oid sha256:7723e800b69c5081d3fc0fb4741114c156ebbf1eca8039a1a1e5e69f864c9668
 size 3055544304