Downloads · 30 days
5
10% of all-time downloads
distilbert-base-uncased-finetuned-DouRC_squad
suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad
distilbert-base-uncased-finetuned-DouRC_squad is a question answering model from suthanhcong. 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
66.4M
1.6 GB 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
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- fd2651c9
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-base-uncased-finetuned-DouRC_squad
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: 1.3446
- Exact Match: 0.595
- F1: 0.4606
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: 56
- eval_batch_size: 56
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
|---|---|---|---|---|---|
| 2.4681 | 1.0 | 536 | 1.6016 | 0.565 | 0.4282 |
| 1.6197 | 2.0 | 1072 | 1.3800 | 0.57 | 0.4348 |
| 1.3323 | 3.0 | 1608 | 1.3422 | 0.595 | 0.4619 |
| 1.1524 | 4.0 | 2144 | 1.3187 | 0.61 | 0.4775 |
| 1.0458 | 5.0 | 2680 | 1.3446 | 0.595 | 0.4606 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024