Downloads · 30 days
0
deberta-v3-base-title-comment-SolEA
HiAmNear/deberta-v3-base-title-comment-SolEA
deberta-v3-base-title-comment-SolEA is a machine learning model from HiAmNear. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 8, 2025
Parameters
184M
777 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors736 MB · 94%
At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025
- SHA
- b411b5e1
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. -->
deberta-v3-base-title-comment-SolEA
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.57.3
- Pytorch 2.7.1+cu118
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- License
- mit
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025