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: 0.5883
-- Cer: 13.2171
+- Loss: 0.6072
+- Cer: 13.4234
 
 ## Model description
 
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 2.4043        | 1.01  | 100  | 0.9458          | 20.3160 |
-| 0.583         | 2.02  | 200  | 0.6839          | 16.0271 |
-| 0.3162        | 3.03  | 300  | 0.6039          | 14.5832 |
-| 0.1783        | 4.04  | 400  | 0.5850          | 13.9449 |
-| 0.098         | 5.05  | 500  | 0.5883          | 13.2171 |
+| 2.3485        | 1.01  | 100  | 0.9561          | 22.0674 |
+| 0.6035        | 2.02  | 200  | 0.7036          | 16.4046 |
+| 0.3438        | 3.03  | 300  | 0.6294          | 14.7272 |
+| 0.2082        | 4.04  | 400  | 0.6100          | 14.1940 |
+| 0.1266        | 5.05  | 500  | 0.6072          | 13.4234 |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
+- Transformers 4.38.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.38.1"
+  "transformers_version": "4.38.2"
 }