End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 36.7003367003367
+      value: 48.929912148302954
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5832
-- Wer: 36.7003
+- Loss: 0.8279
+- Wer: 48.9299
 
 ## Model description
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - 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: 400
+- lr_scheduler_warmup_steps: 100
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.7572        | 1.5405 | 200  | 0.6012          | 38.1245 |
-| 0.4566        | 3.0772 | 400  | 0.5832          | 36.7003 |
+| 0.5453        | 2.3089 | 300  | 0.8113          | 46.9716 |
+| 0.3677        | 4.6178 | 600  | 0.8279          | 48.9299 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71ca648137c085b9b25dc2d43568480fab44b3911eee8768784403965c76064a
+oid sha256:29219120ca4c9a1330fb2cd0c8b29585869eb78751cf472252fb6fe4adb2aff5
 size 966995080