update model card README.md

README.md

@@ -1,9 +1,11 @@
 ---
+language:
+- el
 license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- fleurs
+- google/fleurs
 metrics:
 - wer
 model-index:
@@ -13,15 +15,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: fleurs
-      type: fleurs
+      name: FLEURS
+      type: google/fleurs
       config: el_gr
       split: test
       args: el_gr
     metrics:
     - name: Wer
       type: wer
-      value: 1.0564819086535293
+      value: 0.8398897182435613
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-large-v2-greek
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the FLEURS dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2061
-- Wer Ortho: 1.0424
-- Wer: 1.0565
+- Loss: 0.2442
+- Wer Ortho: 0.8376
+- Wer: 0.8399
 
 ## Model description
 
@@ -61,22 +63,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- num_epochs: 10
+- num_epochs: 9
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.1416        | 1.0   | 217  | 0.1611          | 1.2560    | 1.2638 |
-| 0.0617        | 2.0   | 435  | 0.1612          | 1.1956    | 1.1930 |
-| 0.027         | 3.0   | 653  | 0.1716          | 1.6495    | 1.6518 |
-| 0.0155        | 4.0   | 871  | 0.1812          | 1.2816    | 1.2878 |
-| 0.0114        | 5.0   | 1088 | 0.1792          | 1.0087    | 1.0071 |
-| 0.0085        | 6.0   | 1306 | 0.1891          | 0.9757    | 0.9971 |
-| 0.0073        | 7.0   | 1524 | 0.2017          | 1.0040    | 1.0225 |
-| 0.0062        | 8.0   | 1742 | 0.1980          | 1.0737    | 1.0779 |
-| 0.0094        | 9.0   | 1959 | 0.2103          | 0.8469    | 0.8459 |
-| 0.0039        | 9.97  | 2170 | 0.2061          | 1.0424    | 1.0565 |
+| 0.1502        | 1.0   | 217  | 0.1780          | 1.1731    | 1.1960 |
+| 0.0608        | 2.0   | 435  | 0.1869          | 1.1069    | 1.1209 |
+| 0.0305        | 3.0   | 653  | 0.2029          | 1.1970    | 1.2144 |
+| 0.0178        | 4.0   | 871  | 0.2186          | 1.3240    | 1.3458 |
+| 0.0108        | 5.0   | 1088 | 0.2253          | 1.1080    | 1.1200 |
+| 0.0076        | 6.0   | 1306 | 0.2301          | 1.0047    | 1.0155 |
+| 0.0072        | 7.0   | 1524 | 0.2402          | 1.1153    | 1.1405 |
+| 0.0051        | 8.0   | 1742 | 0.2434          | 1.0095    | 1.0264 |
+| 0.0056        | 8.97  | 1953 | 0.2442          | 0.8376    | 0.8399 |
 
 
 ### Framework versions