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RobertaLr1e-6Wd0.03
hsmith-morganhill/RobertaLr1e-6Wd0.03
RobertaLr1e-6Wd0.03 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 14, 2024
- Updated
- Aug 14, 2024
- SHA
- a2c623ba
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-6Wd0.03
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: 0.8520
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 |
|---|---|---|---|
| 2.3625 | 1.0 | 72 | 1.8276 |
| 1.5154 | 2.0 | 144 | 1.4140 |
| 1.8637 | 3.0 | 216 | 1.2456 |
| 1.53 | 4.0 | 288 | 1.1137 |
| 1.0965 | 5.0 | 360 | 1.0372 |
| 0.3548 | 6.0 | 432 | 0.9753 |
| 0.709 | 7.0 | 504 | 0.9365 |
| 0.7221 | 8.0 | 576 | 0.9038 |
| 0.4642 | 9.0 | 648 | 0.8745 |
| 0.6543 | 10.0 | 720 | 0.8655 |
| 0.6377 | 11.0 | 792 | 0.8550 |
| 0.7143 | 12.0 | 864 | 0.8520 |
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 14, 2024
- Updated
- Aug 14, 2024