End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 54.04689362829514
+      value: 55.53053384554245
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8711
-- Wer Ortho: 73.0163
-- Wer: 54.0469
+- Loss: 1.0174
+- Wer Ortho: 75.7912
+- Wer: 55.5305
 
 ## Model description
 
@@ -63,19 +63,19 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 800
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0947        | 5.8824 | 500  | 0.8711          | 73.0163   | 54.0469 |
+| 0.0213        | 9.4118 | 800  | 1.0174          | 75.7912   | 55.5305 |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
+- Transformers 4.47.1
 - Pytorch 2.5.1+cu121
-- Datasets 3.1.0
-- Tokenizers 0.20.3
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -258,5 +258,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.46.2"
+  "transformers_version": "4.47.1"
 }