End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.82172373081464
+      value: 33.293978748524204
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 0.6636
-- Wer Ortho: 32.6959
-- Wer: 32.8217
+- Loss: 0.7876
+- Wer Ortho: 33.1277
+- Wer: 33.2940
 
 ## Model description
 
@@ -61,14 +61,17 @@ The following hyperparameters were used during training:
 - 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: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0006        | 17.8571 | 500  | 0.6636          | 32.6959   | 32.8217 |
+| 0.0006        | 17.8571 | 500  | 0.6634          | 32.8809   | 32.9988 |
+| 0.0002        | 35.7143 | 1000 | 0.7228          | 32.5725   | 32.7627 |
+| 0.0001        | 53.5714 | 1500 | 0.7594          | 32.2023   | 32.3495 |
+| 0.0001        | 71.4286 | 2000 | 0.7876          | 33.1277   | 33.2940 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5ca618562e54bf4de6bdf24a5cc09b08625b96a806c6be5a63e7b310e1ad4459
 size 151061672