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e4512aab3b
* catch gpu len 1 set to gpu0 * Add mpc to trainer * Add MPC for TF * fix TF automodel for MPC and add Albert * Apply style * Fix import * Note to self: double check * Make shape None, None for datasetgenerator output shapes * Add from_pt bool which doesnt seem to work * Original checkpoint dir * Fix docstrings for automodel * Update readme and apply style * Colab should probably not be from users * Colabs should probably not be from users * Add colab * Update README.md * Update README.md * Cleanup __intit__ * Cleanup flake8 trailing comma * Update src/transformers/training_args_tf.py * Update src/transformers/modeling_tf_auto.py Co-authored-by: Viktor Alm <viktoralm@pop-os.localdomain> Co-authored-by: Julien Chaumond <chaumond@gmail.com> |
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| .. | ||
| README.md | ||
| run_multiple_choice.py | ||
| run_tf_multiple_choice.py | ||
| utils_multiple_choice.py | ||
Multiple Choice
Based on the script run_multiple_choice.py.
Fine-tuning on SWAG
Download swag data
#training on 4 tesla V100(16GB) GPUS
export SWAG_DIR=/path/to/swag_data_dir
python ./examples/multiple-choice/run_multiple_choice.py \
--task_name swag \
--model_name_or_path roberta-base \
--do_train \
--do_eval \
--data_dir $SWAG_DIR \
--learning_rate 5e-5 \
--num_train_epochs 3 \
--max_seq_length 80 \
--output_dir models_bert/swag_base \
--per_gpu_eval_batch_size=16 \
--per_gpu_train_batch_size=16 \
--gradient_accumulation_steps 2 \
--overwrite_output
Training with the defined hyper-parameters yields the following results:
***** Eval results *****
eval_acc = 0.8338998300509847
eval_loss = 0.44457291918821606
Tensorflow
export SWAG_DIR=/path/to/swag_data_dir
python ./examples/multiple-choice/run_tf_multiple_choice.py \
--task_name swag \
--model_name_or_path bert-base-cased \
--do_train \
--do_eval \
--data_dir $SWAG_DIR \
--learning_rate 5e-5 \
--num_train_epochs 3 \
--max_seq_length 80 \
--output_dir models_bert/swag_base \
--per_gpu_eval_batch_size=16 \
--per_gpu_train_batch_size=16 \
--logging-dir logs \
--gradient_accumulation_steps 2 \
--overwrite_output
Run it in colab
