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: 66.14709443099274
+      value: 67.28964891041163
 ---
 
 <!-- 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: 1.0195
-- Wer: 66.1471
+- Loss: 1.5055
+- Wer: 67.2896
 
 ## Model description
 
@@ -60,17 +59,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 40
-- training_steps: 300
+- lr_scheduler_warmup_steps: 500
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.5307        | 14.29 | 100  | 1.0195          | 66.1471 |
-| 0.1225        | 28.57 | 200  | 1.1465          | 66.0185 |
-| 0.0498        | 42.86 | 300  | 1.2300          | 66.0336 |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8225        | 14.29 | 100  | 1.7608          | 105.3193 |
+| 0.7281        | 28.57 | 200  | 1.0742          | 69.6126  |
+| 0.2329        | 42.86 | 300  | 1.1192          | 67.0248  |
+| 0.0247        | 57.14 | 400  | 1.3495          | 66.3741  |
+| 0.0057        | 71.43 | 500  | 1.5055          | 67.2896  |
 
 
 ### Framework versions