End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.00552908856974
+      value: 13.900963243731962
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ 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: 0.1680
-- Wer Ortho: 62.3860
-- Wer: 13.0055
+- Loss: 0.1755
+- Wer Ortho: 63.6813
+- Wer: 13.9010
 
 ## Model description
 
@@ -63,17 +63,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.1236        | 1.63  | 500  | 0.1680          | 62.3860   | 13.0055 |
+| 0.1213        | 1.63  | 500  | 0.1755          | 63.6813   | 13.9010 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.4
-- Tokenizers 0.13.3
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -265,5 +265,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.31.0"
+  "transformers_version": "4.35.2"
 }