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distilbert-base-uncased-finetuned-squad
badokorach/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from badokorach. 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. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 14, 2023
- Updated
- Dec 20, 2023
- SHA
- 66a5619c
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-squad
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: 4.1676
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 |
|---|---|---|---|
| No log | 1.0 | 47 | 3.7022 |
| No log | 2.0 | 94 | 3.2578 |
| No log | 3.0 | 141 | 3.1677 |
| No log | 4.0 | 188 | 3.1411 |
| No log | 5.0 | 235 | 3.2288 |
| No log | 6.0 | 282 | 3.2640 |
| No log | 7.0 | 329 | 3.3689 |
| No log | 8.0 | 376 | 3.4776 |
| No log | 9.0 | 423 | 3.5919 |
| No log | 10.0 | 470 | 3.6319 |
| 2.2819 | 11.0 | 517 | 3.8199 |
| 2.2819 | 12.0 | 564 | 3.9339 |
| 2.2819 | 13.0 | 611 | 3.9348 |
| 2.2819 | 14.0 | 658 | 3.9293 |
| 2.2819 | 15.0 | 705 | 4.0312 |
| 2.2819 | 16.0 | 752 | 4.1651 |
| 2.2819 | 17.0 | 799 | 4.0788 |
| 2.2819 | 18.0 | 846 | 4.1112 |
| 2.2819 | 19.0 | 893 | 4.1513 |
| 2.2819 | 20.0 | 940 | 4.1676 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 14, 2023
- Updated
- Dec 20, 2023