Downloads · 30 days
2
8% of all-time downloads
distilbert-base-uncased-finetuned-squad-clos-v3
goryden/distilbert-base-uncased-finetuned-squad-clos-v3
distilbert-base-uncased-finetuned-squad-clos-v3 is a machine learning model from goryden. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Parameters
53.7M
429 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors215 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 14, 2024
- Updated
- Aug 15, 2024
- SHA
- 0a07f629
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-squad-clos-v3
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5967
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5882 | 1.0 | 1384 | 4.5311 |
| 4.422 | 2.0 | 2768 | 4.4651 |
| 4.3077 | 3.0 | 4152 | 4.4444 |
| 4.2029 | 4.0 | 5536 | 4.4513 |
| 4.1273 | 5.0 | 6920 | 4.4641 |
| 4.0389 | 6.0 | 8304 | 4.5065 |
| 3.9614 | 7.0 | 9688 | 4.5475 |
| 3.899 | 8.0 | 11072 | 4.5853 |
| 3.8113 | 9.0 | 12456 | 4.6631 |
| 3.7535 | 10.0 | 13840 | 4.7178 |
| 3.6902 | 11.0 | 15224 | 4.7693 |
| 3.6367 | 12.0 | 16608 | 4.8803 |
| 3.5512 | 13.0 | 17992 | 4.9068 |
| 3.514 | 14.0 | 19376 | 4.9381 |
| 3.4635 | 15.0 | 20760 | 4.9850 |
| 3.4261 | 16.0 | 22144 | 5.0628 |
| 3.385 | 17.0 | 23528 | 5.1386 |
| 3.3351 | 18.0 | 24912 | 5.2038 |
| 3.2989 | 19.0 | 26296 | 5.2187 |
| 3.2728 | 20.0 | 27680 | 5.2861 |
| 3.2466 | 21.0 | 29064 | 5.3364 |
| 3.1945 | 22.0 | 30448 | 5.3955 |
| 3.1843 | 23.0 | 31832 | 5.3903 |
| 3.1506 | 24.0 | 33216 | 5.4709 |
| 3.1386 | 25.0 | 34600 | 5.4738 |
| 3.1162 | 26.0 | 35984 | 5.5358 |
| 3.0991 | 27.0 | 37368 | 5.5459 |
| 3.081 | 28.0 | 38752 | 5.5640 |
| 3.0756 | 29.0 | 40136 | 5.5775 |
| 3.0679 | 30.0 | 41520 | 5.5967 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 14, 2024
- Updated
- Aug 15, 2024