Downloads · 30 days
3
5% of all-time downloads
distilbert-base-uncased-becasv2-3
Evelyn18/distilbert-base-uncased-becasv2-3
distilbert-base-uncased-becasv2-3 is a question answering model from Evelyn18. 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
66
Public
Repo size
531 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin265 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jul 7, 2022
- Updated
- Jul 7, 2022
- SHA
- 329f1cda
Try a prompt
Datasets
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. -->
distilbert-base-uncased-becasv2-3
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.1218
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: 3e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- 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 |
|---|---|---|---|
| No log | 1.0 | 9 | 4.6377 |
| No log | 2.0 | 18 | 3.8511 |
| No log | 3.0 | 27 | 3.3758 |
| No log | 4.0 | 36 | 3.1910 |
| No log | 5.0 | 45 | 3.1187 |
| No log | 6.0 | 54 | 3.1009 |
| No log | 7.0 | 63 | 3.1131 |
| No log | 8.0 | 72 | 3.1218 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 7, 2022
- Updated
- Jul 7, 2022