End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 24.311028175747577
+      value: 18.008111901053315
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 20.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1949
-- Wer: 24.3110
+- Loss: 0.1400
+- Wer: 18.0081
 
 ## Model description
 
@@ -60,7 +60,7 @@ 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: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 15000
+- training_steps: 40000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -82,6 +82,31 @@ The following hyperparameters were used during training:
 | 0.2131        | 0.6409 | 13000 | 0.2000          | 25.1361 |
 | 0.1955        | 0.6902 | 14000 | 0.1966          | 24.4390 |
 | 0.1945        | 0.7395 | 15000 | 0.1949          | 24.3110 |
+| 0.2332        | 0.7888 | 16000 | 0.1985          | 25.1515 |
+| 0.2037        | 0.8381 | 17000 | 0.1915          | 24.7845 |
+| 0.2151        | 0.8874 | 18000 | 0.1869          | 24.0242 |
+| 0.1982        | 0.9367 | 19000 | 0.1822          | 23.0002 |
+| 0.1643        | 0.9860 | 20000 | 0.1776          | 22.7580 |
+| 0.1388        | 1.0353 | 21000 | 0.1745          | 22.5051 |
+| 0.1521        | 1.0846 | 22000 | 0.1715          | 22.1026 |
+| 0.1404        | 1.1339 | 23000 | 0.1694          | 21.8158 |
+| 0.1561        | 1.1832 | 24000 | 0.1680          | 21.8574 |
+| 0.1349        | 1.2325 | 25000 | 0.1671          | 21.8960 |
+| 0.1409        | 1.2818 | 26000 | 0.1728          | 22.0903 |
+| 0.1587        | 1.3311 | 27000 | 0.1707          | 22.5329 |
+| 0.1415        | 1.3804 | 28000 | 0.1658          | 21.4672 |
+| 0.1553        | 1.4297 | 29000 | 0.1616          | 21.4503 |
+| 0.1313        | 1.4790 | 30000 | 0.1589          | 20.6576 |
+| 0.1358        | 1.5283 | 31000 | 0.1559          | 20.1471 |
+| 0.1435        | 1.5776 | 32000 | 0.1521          | 19.7323 |
+| 0.1341        | 1.6269 | 33000 | 0.1501          | 19.6027 |
+| 0.1376        | 1.6762 | 34000 | 0.1481          | 18.8748 |
+| 0.1232        | 1.7255 | 35000 | 0.1462          | 18.8486 |
+| 0.1137        | 1.7748 | 36000 | 0.1441          | 18.6250 |
+| 0.1149        | 1.8241 | 37000 | 0.1425          | 18.4122 |
+| 0.1173        | 1.8734 | 38000 | 0.1415          | 18.2502 |
+| 0.1253        | 1.9227 | 39000 | 0.1404          | 17.9233 |
+| 0.1136        | 1.9720 | 40000 | 0.1400          | 18.0081 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:691dd8f91217ebc74048f8e808e2177dca1b3505fc5cad8ef3a34aeebde1e15d
+oid sha256:73c37b61d90ae86e0d680a45ea740c7dd7aae6f1a927516293c41e2c3ff89729
 size 290403936