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roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01
alitolga/roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01
roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01 is a machine learning model from alitolga. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 11, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- 88c9d5e0
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. -->
roberta-base_PrefixTuning_lr0.0005_bs4_epoch10_wd0.01
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0851
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 15.3385 | 1.0 | 157 | 20.7168 |
| 12.9436 | 2.0 | 314 | 18.8931 |
| 10.6675 | 3.0 | 471 | 9.2559 |
| 6.7709 | 4.0 | 628 | 6.2652 |
| 6.4354 | 5.0 | 785 | 5.7066 |
| 5.9426 | 6.0 | 942 | 5.4725 |
| 5.7576 | 7.0 | 1099 | 5.3012 |
| 5.5423 | 8.0 | 1256 | 5.1759 |
| 5.437 | 9.0 | 1413 | 5.1129 |
| 5.388 | 10.0 | 1570 | 5.0851 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- mit
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024