Update README.md

README.md

@@ -40,12 +40,13 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small GA-EN Speech Translation
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2924
-- Bleu: 30.91
-- Chrf: 47.99
-- Wer: 65.1058
-
+The datasets are augmented in two ways: noise augmentation, and truncating low-magnitude samples.
+The best model checkpoint (this version) based on ChrF is at step 2000, epoch 0.4378, and it achieves the following results on the evaluation set:
+- Loss: 1.2119
+- Bleu: 30.93
+- Chrf: 49.09
+- Wer: 63.1247
+  
 ## Model description
 
 More information needed
@@ -107,16 +108,16 @@ The following hyperparameters were used during training:
 | 0.4047        | 0.6130 | 2800 | 29.9  | 47.79 | 1.2450          | 66.9968  |
 | 0.3719        | 0.6349 | 2900 | 30.5  | 48.78 | 1.2522          | 65.1959  |
 | 0.327         | 0.6567 | 3000 | 31.22 | 49.0  | 1.2493          | 64.1153  |
-| 0.3138        | 0.6786 | 3100 | 1.2653| 30.1  | 47.82           | 65.1959  |
-| 0.3349        | 0.7005 | 3200 | 1.2651| 30.37 | 48.64           | 63.9802  |
-| 0.2807        | 0.7224 | 3300 | 1.2762| 26.02 | 45.46           | 76.8573  |
-| 0.2648        | 0.7443 | 3400 | 1.2761| 30.65 | 47.58           | 64.6105  |
-| 0.2633        | 0.7662 | 3500 | 1.2890| 29.73 | 47.74           | 65.5110  |
-| 0.2316        | 0.7881 | 3600 | 1.2886| 29.94 | 47.33           | 66.4566  |
-| 0.233         | 0.8100 | 3700 | 1.2905| 27.82 | 48.01           | 73.1202  |
-| 0.2196        | 0.8319 | 3800 | 1.2994| 31.51 | 48.66           | 63.7100  |
-| 0.2119        | 0.8538 | 3900 | 1.2910| 30.09 | 48.44           | 65.0158  |
-| 0.2082        | 0.8757 | 4000 | 1.2924| 30.91 | 47.99           | 65.1058  |
+| 0.3138        | 0.6786 | 3100 | 30.1  | 47.82 | 1.2653          | 65.1959  |
+| 0.3349        | 0.7005 | 3200 | 30.37 | 48.64 | 1.2651          | 63.9802  |
+| 0.2807        | 0.7224 | 3300 | 26.02 | 45.46 | 1.2762          | 76.8573  |
+| 0.2648        | 0.7443 | 3400 | 30.65 | 47.58 | 1.2761          | 64.6105  |
+| 0.2633        | 0.7662 | 3500 | 29.73 | 47.74 | 1.2890          | 65.5110  |
+| 0.2316        | 0.7881 | 3600 | 29.94 | 47.33 | 1.2886          | 66.4566  |
+| 0.233         | 0.8100 | 3700 | 27.82 | 48.01 | 1.2905          | 73.1202  |
+| 0.2196        | 0.8319 | 3800 | 31.51 | 48.66 | 1.2994          | 63.7100  |
+| 0.2119        | 0.8538 | 3900 | 30.09 | 48.44 | 1.2910          | 65.0158  |
+| 0.2082        | 0.8757 | 4000 | 30.91 | 47.99 | 1.2924          | 65.1058  |
 
 
 ### Framework versions