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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_v2 |
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model-index: |
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- name: roberta-base-squad2 |
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results: [] |
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--- |
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# roberta-base-squad2 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad_v2 dataset. |
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## Training and evaluation data |
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Trained and evaluated on the [squad_v2 dataset](https://huggingface.co/datasets/squad_v2). |
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## Training procedure |
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Trained on 16 Graphcore Mk2 IPUs using [optimum-graphcore](https://github.com/huggingface/optimum-graphcore). |
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Command line: |
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``` |
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python examples/question-answering/run_qa.py \ |
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--ipu_config_name Graphcore/roberta-base-ipu \ |
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--model_name_or_path roberta-base \ |
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--dataset_name squad_v2 \ |
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--version_2_with_negative \ |
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--do_train \ |
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--do_eval \ |
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--num_train_epochs 3 \ |
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--per_device_train_batch_size 4 \ |
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--per_device_eval_batch_size 2 \ |
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--pod_type pod16 \ |
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--learning_rate 7e-5 \ |
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--max_seq_length 384 \ |
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--doc_stride 128 \ |
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--seed 1984 \ |
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--lr_scheduler_type linear \ |
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--loss_scaling 64 \ |
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--weight_decay 0.01 \ |
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--warmup_ratio 0.2 \ |
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--logging_steps 1 \ |
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--save_steps -1 \ |
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--dataloader_num_workers 64 \ |
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--output_dir roberta-base-squad2 \ |
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--overwrite_output_dir \ |
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--push_to_hub |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 1984 |
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- distributed_type: IPU |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 40 |
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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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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 3.0 |
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- training precision: Mixed Precision |
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### Training results |
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``` |
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***** train metrics ***** |
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epoch = 3.0 |
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train_loss = 0.9982 |
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train_runtime = 0:04:44.21 |
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train_samples = 131823 |
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train_samples_per_second = 1391.43 |
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train_steps_per_second = 5.425 |
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***** eval metrics ***** |
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epoch = 3.0 |
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eval_HasAns_exact = 78.1208 |
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eval_HasAns_f1 = 84.6569 |
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eval_HasAns_total = 5928 |
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eval_NoAns_exact = 82.0353 |
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eval_NoAns_f1 = 82.0353 |
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eval_NoAns_total = 5945 |
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eval_best_exact = 80.0809 |
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eval_best_exact_thresh = 0.0 |
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eval_best_f1 = 83.3442 |
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eval_best_f1_thresh = 0.0 |
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eval_exact = 80.0809 |
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eval_f1 = 83.3442 |
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eval_samples = 12165 |
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eval_total = 11873 |
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``` |
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### Framework versions |
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- Transformers 4.18.0.dev0 |
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- Pytorch 1.10.0+cpu |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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