End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 38.33004602235371
+      value: 0.44904667981591057
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8337
-- Wer Ortho: 38.7783
-- Wer: 38.3300
+- Loss: 1.2178
+- Wer Ortho: 0.4585
+- Wer: 0.4490
 
 ## Model description
 
@@ -53,20 +53,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 800
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.8337          | 38.7783   | 38.3300 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.024         | 14.29 | 400  | 1.0343          | 0.4255    | 0.4149 |
+| 0.0215        | 28.57 | 800  | 1.2178          | 0.4585    | 0.4490 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 151099049