Update README.md

README.md

@@ -16,6 +16,7 @@ datasets:
 metrics:
 - bleu
 - wer
+- chrf
 model-index:
 - name: Whisper Small GA-EN Speech Translation
   results:
@@ -23,7 +24,9 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia + augmented
+      name: >-
+        IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia +
+        augmented
       type: ymoslem/IWSLT2023-GA-EN
     metrics:
     - name: Bleu
@@ -69,8 +72,10 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- warmup_steps: 0
 - training_steps: 3000
 - mixed_precision_training: Native AMP
+- generation_max_length: 128
 
 ### Training results
 
@@ -96,7 +101,7 @@ The following hyperparameters were used during training:
 | 0.1946        | 0.7881 | 1800 | 1.2820          | 26.17 | 42.46 | 64.9257  |
 | 0.1588        | 0.8319 | 1900 | 1.3172          | 26.9  | 43.02 | 63.5299  |
 | 0.1322        | 0.8757 | 2000 | 1.3248          | 27.78 | 43.53 | 63.8001  |
-| 0.1134        | 0.9194 | 2100 | 1.3198          | 28.98 | 45.27 | 72.7600  |
+| 0.1134        | 0.9194 | **2100** | 1.3198          | 28.98 | 45.27 | 72.7600  |
 | 0.1031        | 0.9632 | 2200 | 1.3502          | 29.18 | 44.77 | 68.3476  |
 | 0.0518        | 1.0070 | 2300 | 1.3433          | 28.6  | 42.96 | 69.0230  |
 | 0.0481        | 1.0508 | 2400 | 1.3715          | 29.01 | 44.46 | 69.6983  |
@@ -113,4 +118,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.2
 - Pytorch 2.2.0+cu121
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1