Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/ahotrod/albert_xxlargev1_squad2_512/README.md

README.md

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+## Albert xxlarge version 1 language model fine-tuned on SQuAD2.0
+
+###  (updated 30Sept2020) with the following results:
+
+```
+exact: 86.11134506864315
+f1: 89.35371214945009
+total': 11873
+HasAns_exact': 83.56950067476383
+HasAns_f1': 90.06353312254078
+HasAns_total': 5928
+NoAns_exact': 88.64592094196804
+NoAns_f1': 88.64592094196804
+NoAns_total': 5945
+best_exact': 86.11134506864315
+best_exact_thresh': 0.0
+best_f1': 89.35371214944985
+best_f1_thresh': 0.0
+```
+
+### from script:
+
+```
+python ${EXAMPLES}/run_squad.py \
+  --model_type albert \
+  --model_name_or_path albert-xxlarge-v1 \
+  --do_train \
+  --do_eval \
+  --train_file ${SQUAD}/train-v2.0.json \
+  --predict_file ${SQUAD}/dev-v2.0.json \
+  --version_2_with_negative \
+  --do_lower_case \
+  --num_train_epochs 3 \
+  --max_steps 8144 \
+  --warmup_steps 814 \
+  --learning_rate 3e-5 \
+  --max_seq_length 512 \
+  --doc_stride 128 \
+  --per_gpu_train_batch_size 6 \
+  --gradient_accumulation_steps 8 \
+  --per_gpu_eval_batch_size 48 \
+  --fp16 \
+  --fp16_opt_level O1 \
+  --threads 12 \
+  --logging_steps 50 \
+  --save_steps 3000 \
+  --overwrite_output_dir \
+  --output_dir ${MODEL_PATH}
+```
+
+### using the following software & system:
+
+```
+Transformers: 3.1.0
+PyTorch: 1.6.0
+TensorFlow: 2.3.1
+Python: 3.8.1
+OS: Linux-5.4.0-48-generic-x86_64-with-glibc2.10
+CPU/GPU: Intel i9-9900K / NVIDIA Titan RTX 24GB
+```