update model card README.md

README.md

@@ -1,14 +1,13 @@
 ---
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
 - audiofolder
 metrics:
 - wer
 model-index:
-- name: Whisper Small Seneca
+- name: whisper-small-Seneca
   results:
   - task:
       name: Automatic Speech Recognition
@@ -22,18 +21,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 43.8592127355264
+      value: 27.27442323238605
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small Seneca
+# whisper-small-Seneca
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the audiofolder dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5220
-- Wer: 43.8592
+- Loss: 0.3436
+- Wer: 27.2744
 
 ## Model description
 
@@ -67,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.7706        | 0.17  | 1000 | 0.8185          | 69.7967 |
-| 0.6779        | 0.33  | 2000 | 0.6389          | 55.0712 |
-| 0.5047        | 1.09  | 3000 | 0.5776          | 48.6413 |
-| 0.4432        | 1.25  | 4000 | 0.5461          | 45.3206 |
-| 0.3717        | 2.01  | 5000 | 0.5240          | 45.6191 |
-| 0.3244        | 2.17  | 6000 | 0.5220          | 43.8592 |
+| 0.4698        | 0.17  | 1000 | 0.5169          | 42.6155 |
+| 0.4237        | 0.33  | 2000 | 0.3953          | 35.0351 |
+| 0.2547        | 1.09  | 3000 | 0.3688          | 33.6857 |
+| 0.1923        | 1.25  | 4000 | 0.3500          | 30.6324 |
+| 0.1281        | 2.01  | 5000 | 0.3327          | 26.8453 |
+| 0.0701        | 2.17  | 6000 | 0.3436          | 27.2744 |
 
 
 ### Framework versions