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flat_model
rugvedabodke/flat_model
flat_model is a question answering model from rugvedabodke. 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
- Nov 30, 2023
- Updated
- Nov 30, 2023
- SHA
- 407f56c0
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. -->
flat_model
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: 1.0506
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 2 | 5.5895 |
| No log | 2.0 | 4 | 5.3197 |
| No log | 3.0 | 6 | 5.0073 |
| No log | 4.0 | 8 | 4.7018 |
| No log | 5.0 | 10 | 4.4059 |
| No log | 6.0 | 12 | 4.1189 |
| No log | 7.0 | 14 | 3.8437 |
| No log | 8.0 | 16 | 3.5810 |
| No log | 9.0 | 18 | 3.3421 |
| No log | 10.0 | 20 | 3.0996 |
| No log | 11.0 | 22 | 2.8624 |
| No log | 12.0 | 24 | 2.6348 |
| No log | 13.0 | 26 | 2.4103 |
| No log | 14.0 | 28 | 2.1955 |
| No log | 15.0 | 30 | 2.0006 |
| No log | 16.0 | 32 | 1.8247 |
| No log | 17.0 | 34 | 1.6528 |
| No log | 18.0 | 36 | 1.4862 |
| No log | 19.0 | 38 | 1.3387 |
| No log | 20.0 | 40 | 1.2120 |
| No log | 21.0 | 42 | 1.1054 |
| No log | 22.0 | 44 | 1.0292 |
| No log | 23.0 | 46 | 0.9989 |
| No log | 24.0 | 48 | 0.9831 |
| No log | 25.0 | 50 | 0.9650 |
| No log | 26.0 | 52 | 0.9665 |
| No log | 27.0 | 54 | 0.9973 |
| No log | 28.0 | 56 | 1.0356 |
| No log | 29.0 | 58 | 1.0376 |
| No log | 30.0 | 60 | 1.0142 |
| No log | 31.0 | 62 | 0.9909 |
| No log | 32.0 | 64 | 0.9877 |
| No log | 33.0 | 66 | 0.9970 |
| No log | 34.0 | 68 | 1.0117 |
| No log | 35.0 | 70 | 1.0140 |
| No log | 36.0 | 72 | 1.0170 |
| No log | 37.0 | 74 | 1.0477 |
| No log | 38.0 | 76 | 1.0506 |
| No log | 39.0 | 78 | 1.0521 |
| No log | 40.0 | 80 | 1.0616 |
| No log | 41.0 | 82 | 1.0763 |
| No log | 42.0 | 84 | 1.0793 |
| No log | 43.0 | 86 | 1.0772 |
| No log | 44.0 | 88 | 1.0761 |
| No log | 45.0 | 90 | 1.0765 |
| No log | 46.0 | 92 | 1.0721 |
| No log | 47.0 | 94 | 1.0605 |
| No log | 48.0 | 96 | 1.0543 |
| No log | 49.0 | 98 | 1.0511 |
| No log | 50.0 | 100 | 1.0506 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023