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: 0.8398897182435613
+      value: 0.19205164413960057
 ---
 
 <!-- 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: 0.2442
-- Wer Ortho: 0.8376
-- Wer: 0.8399
+- Loss: 0.3106
+- Wer Ortho: 0.2256
+- Wer: 0.1921
 
 ## Model description
 
@@ -52,30 +54,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 2e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
 - 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: 9
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 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 |
+| 0.1809        | 1.0   | 274  | 0.2244          | 0.2261    | 0.1947 |
+| 0.0977        | 2.0   | 549  | 0.2306          | 0.2204    | 0.1856 |
+| 0.0594        | 3.0   | 824  | 0.2332          | 0.2137    | 0.1814 |
+| 0.0454        | 4.0   | 1099 | 0.2667          | 0.2315    | 0.1985 |
+| 0.028         | 5.0   | 1374 | 0.2579          | 0.2151    | 0.1822 |
+| 0.022         | 6.0   | 1649 | 0.2674          | 0.2188    | 0.1863 |
+| 0.0202        | 7.0   | 1924 | 0.2719          | 0.2140    | 0.1790 |
+| 0.0129        | 8.0   | 2199 | 0.2894          | 0.2219    | 0.1834 |
+| 0.0218        | 9.0   | 2473 | 0.2861          | 0.2180    | 0.1831 |
+| 0.0144        | 10.0  | 2748 | 0.3076          | 0.2211    | 0.1874 |
+| 0.0157        | 11.0  | 3023 | 0.3094          | 0.2264    | 0.1900 |
+| 0.0114        | 11.96 | 3288 | 0.3106          | 0.2256    | 0.1921 |
 
 
 ### Framework versions