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-tiny
   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: 273.23698547215497
+      value: 485.9866828087167
 ---
 
 <!-- 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-tiny
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the google/fleurs ps_af dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4900
-- Wer: 273.2370
+- Loss: 2.3101
+- Wer: 485.9867
 
 ## Model description
 
@@ -52,27 +51,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-07
+- learning_rate: 1e-05
 - train_batch_size: 64
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 2
+- lr_scheduler_warmup_steps: 40
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.14  | 1    | 3.4900          | 273.2370 |
-| No log        | 0.29  | 2    | 3.4900          | 273.2370 |
+| 2.9393        | 14.29 | 100  | 2.9025          | 369.2645 |
+| 2.7124        | 28.57 | 200  | 2.7165          | 407.9222 |
+| 2.4773        | 42.86 | 300  | 2.4649          | 449.5006 |
+| 2.3142        | 57.14 | 400  | 2.3466          | 473.6002 |
+| 2.2942        | 71.43 | 500  | 2.3101          | 485.9867 |
 
 
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.13.0+cu117
+- Pytorch 1.13.1+cu117
 - Datasets 2.7.1.dev0
 - Tokenizers 0.13.2