update model card README.md

README.md

@@ -1,12 +1,6 @@
 ---
-language:
-- pt
-license: apache-2.0
+license: mit
 tags:
-- toxicity
-- portuguese
-- hate speech
-- offensive language
 - generated_from_trainer
 metrics:
 - accuracy
@@ -14,16 +8,16 @@ metrics:
 - precision
 - recall
 model-index:
-- name: dougtrajano/toxicity-target-type-identification
+- name: toxicity-target-type-identification
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# dougtrajano/toxicity-target-type-identification
+# toxicity-target-type-identification
 
-This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the OLID-BR dataset.
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7001
 - Accuracy: 0.7505
@@ -67,7 +61,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.26.0
+- Transformers 4.26.1
 - Pytorch 1.10.2+cu113
 - Datasets 2.9.0
 - Tokenizers 0.13.2