Migrate model card from transformers-repo
Browse filesRead 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/mrm8488/spanbert-large-finetuned-tacred/README.md
README.md
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---
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language: en
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thumbnail:
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---
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# SpanBERT large fine-tuned on TACRED
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[SpanBERT](https://github.com/facebookresearch/SpanBERT) created by [Facebook Research](https://github.com/facebookresearch) and fine-tuned on [TACRED](https://nlp.stanford.edu/projects/tacred/) dataset by [them](https://github.com/facebookresearch/SpanBERT#finetuned-models-squad-1120-relation-extraction-coreference-resolution)
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## Details of SpanBERT
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[SpanBERT: Improving Pre-training by Representing and Predicting Spans](https://arxiv.org/abs/1907.10529)
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## Dataset 📚
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[TACRED](https://nlp.stanford.edu/projects/tacred/) A large-scale relation extraction dataset with 106k+ examples over 42 TAC KBP relation types.
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## Model fine-tuning 🏋️
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You can get the fine-tuning script [here](https://github.com/facebookresearch/SpanBERT)
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```bash
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python code/run_tacred.py \
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--do_train \
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--do_eval \
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--data_dir <TACRED_DATA_DIR> \
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--model spanbert-large-cased \
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--train_batch_size 32 \
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--eval_batch_size 32 \
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--learning_rate 2e-5 \
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--num_train_epochs 10 \
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--max_seq_length 128 \
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--output_dir tacred_dir \
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--fp16
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```
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## Results Comparison 📝
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| | SQuAD 1.1 | SQuAD 2.0 | Coref | TACRED |
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| ---------------------- | ------------- | --------- | ------- | ------ |
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| | F1 | F1 | avg. F1 | F1 |
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| BERT (base) | 88.5* | 76.5* | 73.1 | 67.7 |
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| SpanBERT (base) | [92.4*](https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv1) | [83.6*](https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv2) | 77.4 | [68.2](https://huggingface.co/mrm8488/spanbert-base-finetuned-tacred) |
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| BERT (large) | 91.3 | 83.3 | 77.1 | 66.4 |
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| SpanBERT (large) | [94.6](https://huggingface.co/mrm8488/spanbert-large-finetuned-squadv1) | [88.7](https://huggingface.co/mrm8488/spanbert-large-finetuned-squadv2) | 79.6 | **70.8** (this one) |
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Note: The numbers marked as * are evaluated on the development sets because those models were not submitted to the official SQuAD leaderboard. All the other numbers are test numbers.
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> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488)
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> Made with <span style="color: #e25555;">♥</span> in Spain
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