End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: whisper-tiny
-  results: []
+  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: 0.6605667060212514
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,10 @@ 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: 0.7343
+- Wer Ortho: 0.6730
+- Wer: 0.6606
 
 ## Model description
 
@@ -41,11 +60,19 @@ 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: 200
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.4699        | 3.57  | 100  | 0.6164          | 0.4695    | 0.4067 |
+| 0.1623        | 7.14  | 200  | 0.5796          | 0.4275    | 0.3796 |
+| 0.0399        | 10.71 | 300  | 0.6172          | 0.4528    | 0.4168 |
+| 0.0082        | 14.29 | 400  | 0.6808          | 0.5262    | 0.5083 |
+| 0.0027        | 17.86 | 500  | 0.7123          | 0.6422    | 0.6275 |
+| 0.0016        | 21.43 | 600  | 0.7343          | 0.6730    | 0.6606 |
 
 
 ### Framework versions

model.safetensors

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 size 151061672

runs/Feb04_20-51-55_MSI/events.out.tfevents.1707079921.MSI

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+size 12456