Update README.md

README.md

@@ -10,6 +10,8 @@ datasets:
 metrics:
 - f1
 - exact_match
+library_name: adapter-transformers
+pipeline_tag: question-answering
 ---
 
 # FredNajjar/bigbird-QA-squad_v2.2
@@ -22,12 +24,7 @@ Fine-tuned [`google/bigbird-roberta-base`](https://huggingface.co/google/bigbird
 - **Task**: Extractive QA
 - **Training Data**: [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/)
 - **Eval Data**: [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/)
-- **Framework Versions**:
-  - Transformers: 4.34.0
-  - Pytorch: 2.0.1+cu118
-  - Datasets: 2.14.5
-  - Tokenizers: 0.14.1
-- **Infrastructure**: 1x Tesla A100
+- **Infrastructure**: 1x NVIDIA A100-SXM4-40GB
 
 ## Training Hyperparameters
 - Learning Rate: 3e-05
@@ -56,10 +53,17 @@ QA_input = {
 res = nlp(QA_input)
 ```
 
+- **Framework Versions**:
+  - Transformers: 4.34.0
+  - Pytorch: 2.0.1+cu118
+  - Datasets: 2.14.5
+  - Tokenizers: 0.14.1
+
 ## Limitations and Bias
 This model inherits limitations and potential biases from the base BigBird model and the SQuAD 2.0 training data.
 
 ## Contact
 For inquiries, please reach out via [LinkedIn](https://www.linkedin.com/in/frednajjar/).
 
----
+
+---