update model card README.md

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - addy88/sanskrit-asr-84
-metrics:
-- wer
 model-index:
 - name: Whisper Small Sanskasr - bvkb
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: addy88/sanskrit-asr-84
-      type: addy88/sanskrit-asr-84
-      config: null
-      split: None
-      args: 'split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 87.73735987188287
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +18,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Sanskasr - bvkb
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the addy88/sanskrit-asr-84 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7583
-- Wer: 87.7374
 
 ## Model description
 
@@ -63,22 +45,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 5
 - training_steps: 100
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.516         | 0.02  | 10   | 1.1614          | 96.7284 |
-| 1.0285        | 0.04  | 20   | 0.9667          | 99.4967 |
-| 0.9284        | 0.06  | 30   | 0.8885          | 93.6399 |
-| 0.8789        | 0.08  | 40   | 0.8437          | 90.8259 |
-| 0.8579        | 0.1   | 50   | 0.8159          | 89.4532 |
-| 0.8001        | 0.12  | 60   | 0.7957          | 89.4990 |
-| 0.8113        | 0.14  | 70   | 0.7807          | 89.1558 |
-| 0.7542        | 0.16  | 80   | 0.7698          | 87.9890 |
-| 0.7672        | 0.18  | 90   | 0.7610          | 87.7374 |
-| 0.7576        | 0.2   | 100  | 0.7583          | 87.7374 |
-
-
 ### Framework versions
 
 - Transformers 4.30.2