Update README.md

README.md

@@ -12,6 +12,17 @@ metrics:
 model-index:
 - name: distilbert-base-amazon-multi
   results: []
+datasets:
+- mteb/amazon_reviews_multi
+language:
+- en
+- de
+- es
+- fr
+- ja
+- zh
+library_name: transformers
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,20 +36,10 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.6055
 - Matthews Correlation: 0.5072
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
+This model was fine tuned on Google Colab using a single **NVIDIA V100** GPU with 16GB of VRAM. It took around 13 hours to finish the finetuning of 10_000 steps.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -72,4 +73,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0