Downloads · 30 days
9
3% of all-time downloads
distilbert-qa-checkpoint-v5
Thefoodprocessor/distilbert-qa-checkpoint-v5
distilbert-qa-checkpoint-v5 is a question answering model from Thefoodprocessor. 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
333
Public
Parameters
66.4M
265 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors265 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023
- SHA
- 8743376b
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. -->
distilbert-qa-checkpoint-v5
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4904
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3912 | 1.0 | 2059 | 0.3897 |
| 0.3313 | 2.0 | 4118 | 0.3449 |
| 0.2679 | 3.0 | 6177 | 0.3508 |
| 0.2323 | 4.0 | 8236 | 0.3489 |
| 0.2047 | 5.0 | 10295 | 0.3578 |
| 0.1913 | 6.0 | 12354 | 0.4529 |
| 0.1821 | 7.0 | 14413 | 0.4904 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023