End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.94645555236442
+      value: 30.20491240338149
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ 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: 0.3910
-- Wer: 35.9465
+- Loss: 0.3052
+- Wer: 30.2049
 
 ## Model description
 
@@ -62,23 +62,33 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 15000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.4411        | 0.0176 | 1000 | 0.5526          | 47.9128 |
-| 0.327         | 0.0352 | 2000 | 0.4648          | 41.1885 |
-| 0.2883        | 0.0528 | 3000 | 0.4286          | 37.6822 |
-| 0.2777        | 0.0704 | 4000 | 0.4037          | 36.9479 |
-| 0.2543        | 0.0880 | 5000 | 0.3910          | 35.9465 |
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.4689        | 0.0210 | 1000  | 0.5616          | 48.2462 |
+| 0.3234        | 0.0420 | 2000  | 0.4695          | 44.8210 |
+| 0.3078        | 0.0630 | 3000  | 0.4184          | 38.8747 |
+| 0.2845        | 0.0840 | 4000  | 0.3955          | 36.2861 |
+| 0.2771        | 0.1050 | 5000  | 0.3720          | 35.5344 |
+| 0.2459        | 0.1260 | 6000  | 0.3649          | 35.9415 |
+| 0.2482        | 0.1470 | 7000  | 0.3499          | 34.3993 |
+| 0.26          | 0.1680 | 8000  | 0.3389          | 32.9183 |
+| 0.2128        | 0.1891 | 9000  | 0.3321          | 33.2493 |
+| 0.2092        | 0.2101 | 10000 | 0.3215          | 31.4973 |
+| 0.1942        | 0.2311 | 11000 | 0.3194          | 31.0465 |
+| 0.1912        | 0.2521 | 12000 | 0.3184          | 31.2850 |
+| 0.2199        | 0.2731 | 13000 | 0.3100          | 30.6395 |
+| 0.1861        | 0.2941 | 14000 | 0.3059          | 30.8667 |
+| 0.2344        | 0.3151 | 15000 | 0.3052          | 30.2049 |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.41.2
 - Pytorch 2.2.0
-- Datasets 2.19.0
+- Datasets 2.19.2
 - Tokenizers 0.19.1

generation_config.json

@@ -261,5 +261,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.1"
+  "transformers_version": "4.41.2"
 }