update model card README.md

README.md

@@ -2,14 +2,29 @@
 language:
 - el
 tags:
-- hf-asr-leaderboard, whisper-large, mozilla-foundation/common_voice_11_0, greek,
+- hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0, greek,
   whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- google/fleurs
+metrics:
+- wer
 model-index:
 - name: Whisper Medium El - Greek One
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Google FLEURS
+      type: google/fleurs
+      config: el_gr
+      split: test
+      args: el_gr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 15.584586962259174
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,15 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Medium El - Greek One
 
-This model is a fine-tuned version of [openai/medium-small](https://huggingface.co/openai/medium-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/medium-medium](https://huggingface.co/openai/medium-medium) on the Google FLEURS dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3928
-- eval_wer: 14.8031
-- eval_runtime: 1229.0439
-- eval_samples_per_second: 1.38
-- eval_steps_per_second: 0.172
-- epoch: 20.0
-- step: 1000
+- Loss: 0.2864
+- Wer: 15.5846
 
 ## Model description
 
@@ -53,12 +63,20 @@ 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: 500
-- training_steps: 12000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0006        | 12.02 | 1000 | 0.2718          | 15.4394 |
+| 0.0003        | 24.04 | 2000 | 0.2864          | 15.5846 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.13.0+cu116
+- Pytorch 1.14.0.dev20221206+cu116
 - Datasets 2.7.1.dev0
 - Tokenizers 0.13.2