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-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5929
-- Cer: 13.2243
+- Loss: 0.5864
+- Cer: 13.2164
 
 ## Model description
 
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 2.3402        | 1.0101 | 100  | 0.9377          | 20.2765 |
-| 0.5917        | 2.0202 | 200  | 0.6871          | 16.3785 |
-| 0.3349        | 3.0303 | 300  | 0.6126          | 15.5452 |
-| 0.2024        | 4.0404 | 400  | 0.5887          | 14.1160 |
-| 0.1236        | 5.0505 | 500  | 0.5929          | 13.2243 |
+| 2.3906        | 1.0101 | 100  | 0.9600          | 20.7738 |
+| 0.578         | 2.0202 | 200  | 0.6882          | 16.1996 |
+| 0.3116        | 3.0303 | 300  | 0.5999          | 14.6718 |
+| 0.1741        | 4.0404 | 400  | 0.5747          | 13.5690 |
+| 0.0955        | 5.0505 | 500  | 0.5864          | 13.2164 |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Transformers 4.44.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.0"
+  "transformers_version": "4.44.0"
 }