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distilbert-base-uncased-finetuned-squad-clos-v4
goryden/distilbert-base-uncased-finetuned-squad-clos-v4
distilbert-base-uncased-finetuned-squad-clos-v4 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. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 15, 2024
- Updated
- Aug 16, 2024
- SHA
- f1da71c8
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-v4
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: 5.6212
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 |
|---|---|---|---|
| 4.5833 | 1.0 | 1384 | 4.5272 |
| 4.4156 | 2.0 | 2768 | 4.4612 |
| 4.2998 | 3.0 | 4152 | 4.4308 |
| 4.1939 | 4.0 | 5536 | 4.4414 |
| 4.1197 | 5.0 | 6920 | 4.4658 |
| 4.0254 | 6.0 | 8304 | 4.4956 |
| 3.9493 | 7.0 | 9688 | 4.5488 |
| 3.8801 | 8.0 | 11072 | 4.5977 |
| 3.7998 | 9.0 | 12456 | 4.6510 |
| 3.741 | 10.0 | 13840 | 4.6884 |
| 3.6751 | 11.0 | 15224 | 4.7773 |
| 3.6182 | 12.0 | 16608 | 4.8803 |
| 3.5358 | 13.0 | 17992 | 4.8822 |
| 3.4968 | 14.0 | 19376 | 4.9722 |
| 3.4541 | 15.0 | 20760 | 5.0355 |
| 3.4186 | 16.0 | 22144 | 5.0545 |
| 3.3653 | 17.0 | 23528 | 5.1249 |
| 3.3134 | 18.0 | 24912 | 5.2119 |
| 3.2808 | 19.0 | 26296 | 5.2069 |
| 3.2592 | 20.0 | 27680 | 5.3077 |
| 3.2279 | 21.0 | 29064 | 5.3592 |
| 3.184 | 22.0 | 30448 | 5.4193 |
| 3.1597 | 23.0 | 31832 | 5.4387 |
| 3.1417 | 24.0 | 33216 | 5.4711 |
| 3.1307 | 25.0 | 34600 | 5.4601 |
| 3.098 | 26.0 | 35984 | 5.5668 |
| 3.0761 | 27.0 | 37368 | 5.5658 |
| 3.0785 | 28.0 | 38752 | 5.5651 |
| 3.0635 | 29.0 | 40136 | 5.6047 |
| 3.0508 | 30.0 | 41520 | 5.6212 |
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 15, 2024
- Updated
- Aug 16, 2024