# Question & Answering Model for 'Save Your Minutes' from Dobby-AI
Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset

This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:
```
!python3 run_squad.py  --model_type distilbert \
                        --model_name_or_path /content/distilbert_base_384 \
                        --do_lower_case \
                        --output_dir /content/model/\
                        --do_train \
                        --train_file $data_dir/additional_qa.json\
                        --version_2_with_negative \
                        --do_lower_case \
                        --num_train_epochs 3 \
                        --weight_decay 0.01 \
                        --learning_rate 3e-5 \
                        --max_grad_norm 0.5 \
                        --adam_epsilon 1e-6 \
                        --max_seq_length 512 \
                        --doc_stride 128 \
                        --threads 12 \
                        --logging_steps 50 \
                        --save_steps 1000 \
                        --overwrite_output_dir \
                        --per_gpu_train_batch_size 4
```
We used Google Colab for training the model,
{}
transformers pytorch distilbert question-answering endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #question-answering #endpoints_compatible #region-us 

# Question & Answering Model for 'Save Your Minutes' from Dobby-AI
Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset

This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:

We used Google Colab for training the model,
# Question & Answering Model for 'Save Your Minutes' from Dobby-AI
Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset

This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:

We used Google Colab for training the model,
TAGS
#transformers #pytorch #distilbert #question-answering #endpoints_compatible #region-us 
 # Question & Answering Model for 'Save Your Minutes' from Dobby-AI
Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset

This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:

We used Google Colab for training the model,
passage: TAGS
#transformers #pytorch #distilbert #question-answering #endpoints_compatible #region-us 
# Question & Answering Model for 'Save Your Minutes' from Dobby-AI
Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset

This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:

We used Google Colab for training the model,