End of training

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.40408805031446543
+      value: 0.35335917312661497
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,9 +29,9 @@ 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: 0.9571
-- Wer Ortho: 0.4047
-- Wer: 0.4041
+- Loss: 0.7096
+- Wer Ortho: 0.3520
+- Wer: 0.3534
 
 ## Model description
 
@@ -57,14 +57,18 @@ The following hyperparameters were used during training:
 - 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: 800
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0           | 28.57 | 800  | 0.9571          | 0.4047    | 0.4041 |
+| 0.3391        | 3.45  | 100  | 0.5298          | 0.3506    | 0.3508 |
+| 0.0475        | 6.9   | 200  | 0.5772          | 0.3560    | 0.3559 |
+| 0.0046        | 10.34 | 300  | 0.6521          | 0.3546    | 0.3540 |
+| 0.0014        | 13.79 | 400  | 0.6903          | 0.3506    | 0.3521 |
+| 0.0009        | 17.24 | 500  | 0.7096          | 0.3520    | 0.3534 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 151061672