End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 30.017639047044902
+      value: 28.99725366735883
 ---
 
 <!-- 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-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 19.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4195
-- Wer: 30.0176
+- Loss: 0.4106
+- Wer: 28.9973
 
 ## Model description
 
@@ -55,13 +55,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.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: 80
+- lr_scheduler_warmup_steps: 60
 - training_steps: 600
 - mixed_precision_training: Native AMP
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.3018        | 0.6682 | 300  | 0.4236          | 30.1561 |
-| 0.2544        | 1.3363 | 600  | 0.4195          | 30.0176 |
+| 0.3223        | 0.6682 | 300  | 0.4224          | 27.9903 |
+| 0.1392        | 1.3363 | 600  | 0.4106          | 28.9973 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:000b3908d9ef34c0cae1094297f2d54e61ac76e4d4fc23c7367a5ef12bbaf1c8
 size 3055544304