End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 92.71548436308161
+      value: 25.191977931857153
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ope100whisper-small](https://huggingface.co/ope100whisper-small) on the kannada voices dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6175
-- Wer: 92.7155
+- Loss: 0.1101
+- Wer: 25.1920
 
 ## Model description
 
@@ -60,15 +60,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - 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: 50
-- training_steps: 100
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.4982        | 5.8824 | 100  | 0.6175          | 92.7155 |
+| 0.1461        | 0.5869 | 1000 | 0.1511          | 37.9110 |
+| 0.0795        | 1.1737 | 2000 | 0.1172          | 31.0520 |
+| 0.0715        | 1.7613 | 3000 | 0.1090          | 28.1220 |
+| 0.0508        | 2.3486 | 4000 | 0.1033          | 25.7362 |
+| 0.0309        | 2.9356 | 5000 | 0.1101          | 25.1920 |
 
 
 ### Framework versions

generation_config.json

@@ -1,44 +1,28 @@
 {
   "alignment_heads": [
     [
-      5,
-      3
+      13,
+      15
     ],
     [
-      5,
-      9
-    ],
-    [
-      8,
-      0
-    ],
-    [
-      8,
+      15,
       4
     ],
     [
-      8,
-      7
+      15,
+      15
     ],
     [
-      8,
-      8
+      16,
+      1
     ],
     [
-      9,
+      20,
       0
     ],
     [
-      9,
-      7
-    ],
-    [
-      9,
-      9
-    ],
-    [
-      10,
-      5
+      23,
+      4
     ]
   ],
   "begin_suppress_tokens": [
@@ -241,6 +225,8 @@
     49870,
     50254,
     50258,
+    50358,
+    50359,
     50360,
     50361,
     50362