Update README.md

README.md

@@ -1,11 +1,54 @@
-!python run_qa.py \
---model_name_or_path xlm-roberta-base \
---output_dir xlm-roberta-base-squad-pt \
---dataset_name squad_v1_pt \
---overwrite_output_dir \
---do_eval \
---do_train \
---per_device_train_batch_size  16 \
---per_device_eval_batch_size  16 \
---learning_rate=3e-5 \
---save_steps=0 
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- squad_v1_pt
+model-index:
+- name: xlm-roberta-base-squad-pt
+  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. -->
+
+# xlm-roberta-base-squad-pt
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the squad_v1_pt 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: tpu
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.21.0.dev0
+- Pytorch 1.9.0+cu102
+- Datasets 2.3.2
+- Tokenizers 0.12.1