End of training

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
-metrics:
-- wer
 model-index:
 - name: whisper-tiny
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: PolyAI/minds14
-      type: PolyAI/minds14
-      config: en-US
-      split: train
-      args: en-US
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.6770956316410862
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-tiny
 
 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: 0.7268
-- Wer Ortho: 0.6798
-- Wer: 0.6771
 
 ## Model description
 
@@ -53,21 +34,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - 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: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0014        | 17.86 | 500  | 0.7268          | 0.6798    | 0.6771 |
 
 
 ### Framework versions

model.safetensors

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runs/Feb04_19-22-53_MSI/events.out.tfevents.1707074582.MSI

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training_args.bin

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