End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.05063291139240507
+      value: 0.026624068157614485
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [nurzhanit/whisper-enhanced-ml](https://huggingface.co/nurzhanit/whisper-enhanced-ml) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0002
-- Wer: 0.0506
+- Wer: 0.0266
 
 ## Model description
 
@@ -61,32 +61,22 @@ 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: 50
-- training_steps: 1000
+- training_steps: 500
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.0339        | 0.8621  | 50   | 0.0211          | 2.5316 |
-| 0.0237        | 1.7241  | 100  | 0.0104          | 1.5949 |
-| 0.0109        | 2.5862  | 150  | 0.0058          | 0.8354 |
-| 0.0046        | 3.4483  | 200  | 0.0029          | 0.4051 |
-| 0.0038        | 4.3103  | 250  | 0.0014          | 0.1519 |
-| 0.0017        | 5.1724  | 300  | 0.0015          | 0.4051 |
-| 0.0019        | 6.0345  | 350  | 0.0006          | 0.2025 |
-| 0.0011        | 6.8966  | 400  | 0.0005          | 0.2532 |
-| 0.0007        | 7.7586  | 450  | 0.0004          | 0.0506 |
-| 0.0002        | 8.6207  | 500  | 0.0004          | 0.0506 |
-| 0.0003        | 9.4828  | 550  | 0.0003          | 0.0506 |
-| 0.0004        | 10.3448 | 600  | 0.0003          | 0.0506 |
-| 0.0001        | 11.2069 | 650  | 0.0002          | 0.0506 |
-| 0.0004        | 12.0690 | 700  | 0.0002          | 0.0506 |
-| 0.0002        | 12.9310 | 750  | 0.0002          | 0.0506 |
-| 0.0004        | 13.7931 | 800  | 0.0002          | 0.0506 |
-| 0.0001        | 14.6552 | 850  | 0.0002          | 0.0506 |
-| 0.0002        | 15.5172 | 900  | 0.0002          | 0.0506 |
-| 0.0003        | 16.3793 | 950  | 0.0002          | 0.0506 |
-| 0.0002        | 17.2414 | 1000 | 0.0002          | 0.0506 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0357        | 0.8621 | 50   | 0.0117          | 1.5708 |
+| 0.0132        | 1.7241 | 100  | 0.0055          | 0.5325 |
+| 0.0068        | 2.5862 | 150  | 0.0033          | 0.3727 |
+| 0.0022        | 3.4483 | 200  | 0.0012          | 0.1065 |
+| 0.0004        | 4.3103 | 250  | 0.0005          | 0.0532 |
+| 0.0008        | 5.1724 | 300  | 0.0003          | 0.0266 |
+| 0.0002        | 6.0345 | 350  | 0.0003          | 0.0266 |
+| 0.0004        | 6.8966 | 400  | 0.0003          | 0.0266 |
+| 0.0001        | 7.7586 | 450  | 0.0003          | 0.0266 |
+| 0.0002        | 8.6207 | 500  | 0.0002          | 0.0266 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae512a799b96a49940b8aa7dad72d03b409ad48bb98d71a6b9dfeed474fb7059
+oid sha256:990f27d9110dff2fb4ba03040743544c3ba0442dc2de4d95dcde1aee02fcabfd
 size 966995080