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kobigbird-bert-base-finetuned
2tina/kobigbird-bert-base-finetuned
kobigbird-bert-base-finetuned is a question answering model from 2tina. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- big_bird
- Access
- Public
- Created
- Oct 7, 2022
- Updated
- Oct 11, 2022
- SHA
- b54d31d1
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
kobigbird-bert-base-finetuned
This model is a fine-tuned version of monologg/kobigbird-bert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8070
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5433 | 0.52 | 500 | 1.7958 |
| 1.5093 | 1.03 | 1000 | 1.1129 |
| 1.1411 | 1.55 | 1500 | 1.0226 |
| 0.9785 | 2.07 | 2000 | 0.8868 |
| 0.8037 | 2.58 | 2500 | 0.8301 |
| 0.7273 | 3.1 | 3000 | 0.8552 |
| 0.6034 | 3.62 | 3500 | 0.8070 |
Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
- Task
- Question Answering
- Library
- transformers
- Type
- big_bird
- Created
- Oct 7, 2022
- Updated
- Oct 11, 2022