End of training

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2293
-- Cer: 10.0703
+- Loss: 0.3084
+- Cer: 15.6339
 
 ## Model description
 
@@ -53,15 +53,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.106         | 1.3245 | 1000 | 0.2137          | 10.6904 |
-| 0.0321        | 2.6490 | 2000 | 0.2127          | 10.5172 |
-| 0.0093        | 3.9735 | 3000 | 0.2222          | 10.1029 |
-| 0.0021        | 5.2980 | 4000 | 0.2293          | 10.0703 |
+| 0.6123        | 1.3245 | 1000 | 0.6134          | 33.7535 |
+| 0.1688        | 2.6490 | 2000 | 0.3170          | 17.2558 |
+| 0.0472        | 3.9735 | 3000 | 0.3022          | 15.9905 |
+| 0.01          | 5.2980 | 4000 | 0.3084          | 15.6339 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
+- Transformers 4.42.0.dev0
 - Pytorch 2.1.2
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.41.2"
+  "transformers_version": "4.42.0.dev0"
 }