Update README.md

README.md

@@ -12,6 +12,8 @@ metrics:
 model-index:
 - name: AST_EmoRecog_Model_v3
   results: []
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # AST_EmoRecog_Model_v3
 
-This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the [IEMOCAP](https://sail.usc.edu/iemocap/) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2233
 - Accuracy: 0.5299
@@ -66,4 +68,4 @@ The following hyperparameters were used during training:
 - Transformers 4.47.1
 - Pytorch 2.5.1+cu121
 - Datasets 3.2.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0