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my_awesome-assert-new
Patcas/my_awesome-assert-new
my_awesome-assert-new 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
- Jan 27, 2024
- Updated
- Jan 28, 2024
- SHA
- 1611ca13
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. -->
my_awesome-assert-new
This model is a fine-tuned version of Patcas/plbart-works on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4168
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4144 | 1.0 | 15052 | 0.4181 |
| 0.3772 | 2.0 | 30104 | 0.3961 |
| 0.358 | 3.0 | 45156 | 0.4086 |
| 0.3221 | 4.0 | 60208 | 0.4168 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- plbart
- Created
- Jan 27, 2024
- Updated
- Jan 28, 2024