metadata
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
model-index:
- name: bert-qa-mash-covid
results: []
bert-qa-mash-covid
This model is a fine-tuned version of google/bigbird-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1822
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5553 | 1.0 | 657 | 1.0374 |
| 1.0747 | 2.0 | 1314 | 0.9805 |
| 0.8656 | 3.0 | 1971 | 1.0557 |
| 0.5949 | 4.0 | 2628 | 1.1109 |
| 0.4757 | 5.0 | 3285 | 1.1982 |
| 0.3937 | 6.0 | 3942 | 1.3565 |
| 0.2476 | 7.0 | 4599 | 1.4817 |
| 0.2064 | 8.0 | 5256 | 1.5591 |
| 0.191 | 9.0 | 5913 | 2.0118 |
| 0.1382 | 10.0 | 6570 | 2.1637 |
| 0.1161 | 11.0 | 7227 | 2.1896 |
| 0.1066 | 12.0 | 7884 | 2.3879 |
| 0.1017 | 13.0 | 8541 | 2.6023 |
| 0.0901 | 14.0 | 9198 | 2.8120 |
| 0.0859 | 15.0 | 9855 | 2.8291 |
| 0.0666 | 16.0 | 10512 | 2.8947 |
| 0.0598 | 17.0 | 11169 | 3.1198 |
| 0.0459 | 18.0 | 11826 | 3.0020 |
| 0.0533 | 19.0 | 12483 | 3.1257 |
| 0.0546 | 20.0 | 13140 | 3.1757 |
| 0.0487 | 21.0 | 13797 | 3.4253 |
| 0.0424 | 22.0 | 14454 | 3.2998 |
| 0.0465 | 23.0 | 15111 | 3.4184 |
| 0.0298 | 24.0 | 15768 | 3.6026 |
| 0.038 | 25.0 | 16425 | 3.7422 |
| 0.032 | 26.0 | 17082 | 3.6208 |
| 0.0247 | 27.0 | 17739 | 3.6113 |
| 0.0283 | 28.0 | 18396 | 3.8404 |
| 0.0237 | 29.0 | 19053 | 3.6326 |
| 0.017 | 30.0 | 19710 | 3.8710 |
| 0.0195 | 31.0 | 20367 | 3.8173 |
| 0.0205 | 32.0 | 21024 | 3.7101 |
| 0.0187 | 33.0 | 21681 | 3.8000 |
| 0.0236 | 34.0 | 22338 | 3.7253 |
| 0.0251 | 35.0 | 22995 | 3.7891 |
| 0.0399 | 36.0 | 23652 | 3.8655 |
| 0.0355 | 37.0 | 24309 | 3.7444 |
| 0.0214 | 38.0 | 24966 | 3.9477 |
| 0.0132 | 39.0 | 25623 | 4.1278 |
| 0.019 | 40.0 | 26280 | 4.1814 |
| 0.0227 | 41.0 | 26937 | 3.9744 |
| 0.0161 | 42.0 | 27594 | 4.1047 |
| 0.0165 | 43.0 | 28251 | 4.2342 |
| 0.0162 | 44.0 | 28908 | 4.1003 |
| 0.013 | 45.0 | 29565 | 4.2922 |
| 0.0158 | 46.0 | 30222 | 4.1349 |
| 0.0118 | 47.0 | 30879 | 4.1534 |
| 0.0155 | 48.0 | 31536 | 4.1656 |
| 0.0167 | 49.0 | 32193 | 4.1763 |
| 0.0205 | 50.0 | 32850 | 4.1822 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2