End of training

README.md

@@ -1,8 +1,6 @@
 ---
-language:
-- he
 license: apache-2.0
-base_model: openai/whisper-medium
+base_model: imvladikon/whisper-medium-he
 tags:
 - generated_from_trainer
 metrics:
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-medium-he
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the imvladikon/hebrew_speech_coursera dataset.
+This model is a fine-tuned version of [imvladikon/whisper-medium-he](https://huggingface.co/imvladikon/whisper-medium-he) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2042
-- Wer: 12.9071
+- Loss: 0.2061
+- Wer: 13.4020
 
 ## Model description
 
@@ -55,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1865        | 0.1   | 1000 | 0.3587          | 21.4973 |
-| 0.2601        | 0.2   | 2000 | 0.2673          | 17.1157 |
-| 0.2033        | 0.3   | 3000 | 0.2238          | 14.4325 |
-| 0.1988        | 0.39  | 4000 | 0.2042          | 12.9071 |
+| 0.0983        | 0.1   | 1000 | 0.3072          | 16.4362 |
+| 0.1219        | 0.2   | 2000 | 0.2923          | 15.6642 |
+| 0.134         | 0.3   | 3000 | 0.2345          | 13.7450 |
+| 0.2113        | 0.39  | 4000 | 0.2061          | 13.4020 |
 
 
 ### Framework versions