update model card README.md

README.md

@@ -1,11 +1,55 @@
 ---
-widget:
-- text: "Demanda por fundos de <mask> para crianças cresce em 2022"
-  example_title: "Exemplo 1"
-- text: "Havia uma <mask> no meio do caminho"
-  example_title: "Exemplo 2"
-- text: "Na verdade, começar a <mask> cedo é ideal para ter um bom dinheiro no futuro"
-  example_title: "Exemplo 3"
-- text: "Mitos e verdades sobre o <mask>. Doença que mais mata mulheres no Brasil."
-  example_title: "Exemplo 4"
----
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: tgf-xlm-roberta-base-pt-br
+  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. -->
+
+# tgf-xlm-roberta-base-pt-br
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.11.0a0+b6df043
+- Datasets 2.6.1
+- Tokenizers 0.13.1