End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.273569773658885
+      value: 38.73819283550169
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ 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 6.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7292
-- Wer: 35.2736
+- Loss: 0.7909
+- Wer: 38.7382
 
 ## Model description
 
@@ -50,7 +50,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -64,12 +64,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.6776        | 1.1236 | 100  | 0.8509          | 44.5482 |
-| 0.107         | 2.2472 | 200  | 0.7355          | 39.2800 |
-| 0.0261        | 3.3708 | 300  | 0.7068          | 36.7742 |
-| 0.0108        | 4.4944 | 400  | 0.7252          | 35.9080 |
-| 0.0033        | 5.6180 | 500  | 0.7246          | 35.1239 |
-| 0.002         | 6.7416 | 600  | 0.7292          | 35.2736 |
+| 0.9012        | 1.1236 | 100  | 1.0076          | 50.6327 |
+| 0.2217        | 2.2472 | 200  | 0.8082          | 42.3311 |
+| 0.0728        | 3.3708 | 300  | 0.7689          | 39.8467 |
+| 0.0228        | 4.4944 | 400  | 0.7767          | 38.6526 |
+| 0.0099        | 5.6180 | 500  | 0.7866          | 38.7738 |
+| 0.0061        | 6.7416 | 600  | 0.7909          | 38.7382 |
 
 
 ### Framework versions

runs/Jun05_20-45-37_a100gpu2/events.out.tfevents.1717613198.a100gpu2.529607.1

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+size 13739