Update README.md

README.md

@@ -6,9 +6,17 @@ tags:
 metrics:
 - bleu
 - wer
+- chrf
 model-index:
 - name: Whisper Base GA-EN Speech Translation
   results: []
+datasets:
+- ymoslem/IWSLT2023-GA-EN
+- ymoslem/FLEURS-GA-EN
+language:
+- ga
+- en
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Base GA-EN Speech Translation
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
+The best model (this version) is at checkpoint 1000, epoch 2.54, and it achieves the following results on the evaluation set:
 - Loss: 1.9005
 - Bleu: 21.83
 - Chrf: 37.13
@@ -37,6 +45,10 @@ More information needed
 
 ## Training procedure
 
+### Experiment
+
+- Data (v1.1: IWSLT2023-GA-EN; v1.2: +FLEURS-GA-EN)
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -71,4 +83,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2