update model card README.md

README.md

@@ -3,39 +3,30 @@ language:
 - el
 license: apache-2.0
 tags:
-- whisper-event
+- hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0, greek,
+  whisper-event
 - generated_from_trainer
-- hf-asr-leaderboard
 datasets:
 - mozilla-foundation/common_voice_11_0
-- google/fleurs
-metrics:
-- wer
 model-index:
 - name: Whisper Medium El Greco Greek
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: mozilla-foundation/common_voice_11_0
-      type: mozilla-foundation/common_voice_11_0
-      args: 'config: el, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 13.976597325408619
+  results: []
 ---
 
 <!-- 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 Medium El - Greek One
+# Whisper Medium El Greco Greek
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4707
-- Wer: 13.9766
+- eval_loss: 0.3924
+- eval_wer: 12.4443
+- eval_runtime: 1211.1631
+- eval_samples_per_second: 1.4
+- eval_steps_per_second: 0.088
+- epoch: 4.04
+- step: 5000
 
 ## Model description
 
@@ -55,8 +46,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 20
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -64,17 +55,6 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0036        | 10.01 | 1000 | 0.4461          | 15.9082 |
-| 0.0001        | 20.02 | 2000 | 0.4250          | 14.5245 |
-| 0.0           | 31.0  | 3000 | 0.4526          | 14.1902 |
-| 0.0           | 41.01 | 4000 | 0.4657          | 14.1252 |
-| 0.0           | 52.0  | 5000 | 0.4707          | 13.9766 |
-
-
 ### Framework versions
 
 - Transformers 4.26.0.dev0