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RobertaLr1e-6Wd0.01
hsmith-morganhill/RobertaLr1e-6Wd0.01
RobertaLr1e-6Wd0.01 is a machine learning model from hsmith-morganhill. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 14, 2024
- SHA
- 7f17625a
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. -->
RobertaLr1e-6Wd0.01
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7289
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: 1e-06
- 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3011 | 1.0 | 72 | 1.7301 |
| 1.3414 | 2.0 | 144 | 1.3252 |
| 1.378 | 3.0 | 216 | 1.1269 |
| 1.1353 | 4.0 | 288 | 1.0078 |
| 0.7978 | 5.0 | 360 | 0.9194 |
| 0.4547 | 6.0 | 432 | 0.8651 |
| 0.5996 | 7.0 | 504 | 0.8146 |
| 0.7746 | 8.0 | 576 | 0.7844 |
| 0.3917 | 9.0 | 648 | 0.7629 |
| 0.8108 | 10.0 | 720 | 0.7422 |
| 0.7831 | 11.0 | 792 | 0.7331 |
| 0.6516 | 12.0 | 864 | 0.7289 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- cc-by-4.0
- Created
- Aug 13, 2024
- Updated
- Aug 14, 2024