End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3724911452184179
+      value: 0.3695395513577332
 ---
 
 <!-- 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: 0.8908
-- Wer Ortho: 0.3701
-- Wer: 0.3725
+- Loss: 0.9348
+- Wer Ortho: 0.3683
+- Wer: 0.3695
 
 ## Model description
 
@@ -60,13 +60,14 @@ 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: 500
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0           | 17.24 | 500  | 0.8908          | 0.3701    | 0.3725 |
+| 0.0           | 17.24 | 500  | 0.9155          | 0.3646    | 0.3654 |
+| 0.0           | 34.48 | 1000 | 0.9348          | 0.3683    | 0.3695 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:ef1cd89a68fe91a6334ce9cb76d46db8d55a70e06b36daeab6960ec6142ff3af
 size 151099049