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distilbertfinetuneHS5E8BHLR
Gowsi/distilbertfinetuneHS5E8BHLR
distilbertfinetuneHS5E8BHLR is a question answering model from Gowsi. 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
- Oct 5, 2024
- Updated
- Oct 5, 2024
- SHA
- 7bf36cd3
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. -->
distilbertfinetuneHS5E8BHLR
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: 1.7171
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 3.0737 | 1.0 | 600 | 1.7313 |
| 1.4227 | 2.0 | 1200 | 1.4659 |
| 1.0574 | 3.0 | 1800 | 1.5260 |
| 0.7728 | 4.0 | 2400 | 1.6003 |
| 0.4865 | 5.0 | 3000 | 1.7171 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024