update model card README.md

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-en-us
-  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: 0.35360094451003543
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,14 +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:
-- eval_loss: 0.8029
-- eval_wer_ortho: 0.3547
-- eval_wer: 0.3489
-- eval_runtime: 23.555
-- eval_samples_per_second: 4.797
-- eval_steps_per_second: 0.34
-- epoch: 35.71
-- step: 1000
+- Loss: 0.7154
+- Wer Ortho: 0.3627
+- Wer: 0.3536
 
 ## Model description
 
@@ -50,7 +60,23 @@ 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: 4000
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 2.1622        | 1.79  | 50   | 0.9646          | 0.4510    | 0.3908 |
+| 0.3628        | 3.57  | 100  | 0.5673          | 0.3812    | 0.3501 |
+| 0.131         | 5.36  | 150  | 0.5827          | 0.3714    | 0.3436 |
+| 0.0488        | 7.14  | 200  | 0.6058          | 0.3689    | 0.3383 |
+| 0.0144        | 8.93  | 250  | 0.6444          | 0.3671    | 0.3430 |
+| 0.0044        | 10.71 | 300  | 0.6652          | 0.3418    | 0.3282 |
+| 0.0021        | 12.5  | 350  | 0.6827          | 0.3405    | 0.3306 |
+| 0.0013        | 14.29 | 400  | 0.6956          | 0.3448    | 0.3341 |
+| 0.0011        | 16.07 | 450  | 0.7061          | 0.3640    | 0.3542 |
+| 0.0008        | 17.86 | 500  | 0.7154          | 0.3627    | 0.3536 |
+
 
 ### Framework versions