update model card README.md

README.md

@@ -3,30 +3,39 @@ language:
 - el
 license: apache-2.0
 tags:
-- hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0, greek,
-  whisper-event
+- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: Whisper Medium El Greco Greek
-  results: []
+- name: Whisper Medium El Greco
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: el
+      split: test
+      args: el
+    metrics:
+    - name: Wer
+      type: wer
+      value: 10.74479940564636
 ---
 
 <!-- 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 Greco Greek
+# Whisper Medium El Greco
 
 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:
-- epoch : 12.44
-- eval_loss : 0.3801
-- eval_runtime : 0:18:30.86
-- eval_samples_per_second : 1.527
-- eval_steps_per_second : 0.095
-- eval_wer : 11.1999
-- step: 5000
+- Loss: 0.4245
+- Wer: 10.7448
 
 ## Model description
 
@@ -52,9 +61,22 @@ 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: 5000
+- training_steps: 7000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0039        | 2.49  | 1000 | 0.3787          | 12.4443 |
+| 0.0017        | 4.98  | 2000 | 0.4010          | 12.2864 |
+| 0.0006        | 7.46  | 3000 | 0.4108          | 11.6921 |
+| 0.0004        | 9.95  | 4000 | 0.4221          | 11.5806 |
+| 0.0005        | 12.44 | 5000 | 0.4222          | 11.4134 |
+| 0.0006        | 4.03  | 6000 | 0.4230          | 10.9212 |
+| 0.0006        | 9.03  | 7000 | 0.4245          | 10.7448 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0