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plbart-assert-nodocs-v3
Patcas/plbart-assert-nodocs-v3
plbart-assert-nodocs-v3 is a machine learning model from Patcas. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- plbart
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- e3f4d1e7
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. -->
plbart-assert-nodocs-v3
This model is a fine-tuned version of Patcas/my_awesome-assert-new on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9840
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 1.1672 |
| No log | 2.0 | 460 | 1.0022 |
| 1.4059 | 3.0 | 690 | 0.9667 |
| 1.4059 | 4.0 | 920 | 0.9625 |
| 0.4797 | 5.0 | 1150 | 0.9779 |
| 0.4797 | 6.0 | 1380 | 0.9764 |
| 0.2511 | 7.0 | 1610 | 0.9693 |
| 0.2511 | 8.0 | 1840 | 0.9764 |
| 0.1582 | 9.0 | 2070 | 0.9813 |
| 0.1582 | 10.0 | 2300 | 0.9840 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- plbart
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024