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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: run05-roberta-large-squadv1.1-sl384-ds128-e2-tbs16 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# run05-roberta-large-squadv1.1-sl384-ds128-e2-tbs16 |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the squad dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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# Train |
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```bash |
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python run_qa.py \ |
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--model_name_or_path roberta-large \ |
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--dataset_name squad \ |
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--do_eval \ |
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--do_train \ |
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--evaluation_strategy steps \ |
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--eval_steps 500 \ |
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--learning_rate 3e-5 \ |
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--fp16 \ |
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--num_train_epochs 2 \ |
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--per_device_eval_batch_size 64 \ |
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--per_device_train_batch_size 16 \ |
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--max_seq_length 384 \ |
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--doc_stride 128 \ |
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--save_steps 1000 \ |
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--logging_steps 1 \ |
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--overwrite_output_dir \ |
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--run_name $RUNID \ |
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--output_dir $OUTDIR |
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``` |
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# Eval |
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```bash |
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export CUDA_VISIBLE_DEVICES=0 |
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MODEL=vuiseng9/roberta-l-squadv1.1 |
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OUTDIR=eval-$(basename $MODEL) |
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WORKDIR=transformers/examples/pytorch/question-answering |
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cd $WORKDIR |
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nohup python run_qa.py \ |
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--model_name_or_path $MODEL \ |
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--dataset_name squad \ |
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--do_eval \ |
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--per_device_eval_batch_size 16 \ |
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--max_seq_length 384 \ |
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--doc_stride 128 \ |
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--overwrite_output_dir \ |
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--output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log & |
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``` |
