Downloads · 30 days
17
33% of all-time downloads
bert-scienceQA-v1
shreyas1104/bert-scienceQA-v1
bert-scienceQA-v1 is a question answering model from shreyas1104. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
51
Public
Parameters
109M
7.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- e4d08937
Try a prompt
Base models
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. -->
bert-scienceQA-v1
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3537
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.823 | 0.97 | 32 | 1.8149 |
| 1.2163 | 1.98 | 65 | 0.6752 |
| 0.6039 | 2.98 | 98 | 0.5014 |
| 0.4402 | 3.98 | 131 | 0.4202 |
| 0.3508 | 4.99 | 164 | 0.3807 |
| 0.2884 | 5.99 | 197 | 0.3695 |
| 0.2633 | 7.0 | 230 | 0.3560 |
| 0.236 | 7.79 | 256 | 0.3537 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024