Update README.md

README.md

@@ -7,6 +7,12 @@ metrics:
 model-index:
 - name: mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1-seed20241201
   results: []
+datasets:
+- asadfgglie/nli-zh-tw-all
+- asadfgglie/BanBan_2024-10-17-facial_expressions-nli
+language:
+- zh
+pipeline_tag: zero-shot-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,6 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1-seed20241201
 
+This model use same hyper-parameter with [asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1](https://huggingface.co/asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1), except `RANDOM_SEED`.
+
+Original version use `RANDOM_SEED=42`, this version use `RANDOM_SEED=20241201`.
+
 This model is a fine-tuned version of [asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0](https://huggingface.co/asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6134
@@ -89,4 +99,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.3
 - Pytorch 2.5.1+cu121
 - Datasets 2.14.7
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3