update model card README.md

README.md

@@ -1,39 +1,38 @@
 ---
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- google/fleurs
+- fleurs
 metrics:
 - wer
 model-index:
-- name: Whisper Tiny Pashto
+- name: openai/whisper-base
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: google/fleurs ps_af
-      type: google/fleurs
+      name: fleurs
+      type: fleurs
       config: ps_af
       split: test
       args: ps_af
     metrics:
     - name: Wer
       type: wer
-      value: 60.05599273607748
+      value: 59.200968523002416
 ---
 
 <!-- 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 Tiny Pashto
+# openai/whisper-base
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the google/fleurs ps_af dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8710
-- Wer: 60.0560
+- Loss: 0.9339
+- Wer: 59.2010
 
 ## Model description
 
@@ -59,7 +58,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 30
-- training_steps: 500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -71,6 +70,11 @@ The following hyperparameters were used during training:
 | 0.5474        | 7.5   | 300  | 0.8744          | 60.5554 |
 | 0.4646        | 10.0  | 400  | 0.8710          | 60.0560 |
 | 0.4557        | 12.5  | 500  | 0.8732          | 59.4658 |
+| 0.3882        | 15.0  | 600  | 0.8819          | 59.0648 |
+| 0.3346        | 17.5  | 700  | 0.9032          | 59.4809 |
+| 0.2947        | 20.0  | 800  | 0.9144          | 59.7685 |
+| 0.2724        | 22.5  | 900  | 0.9289          | 58.9815 |
+| 0.2785        | 25.0  | 1000 | 0.9339          | 59.2010 |
 
 
 ### Framework versions