Downloads · 30 days
6
9% of all-time downloads
NLI-Lora-Fine-Tuning-ClearFinalProper
m4faisal/NLI-Lora-Fine-Tuning-ClearFinalProper
NLI-Lora-Fine-Tuning-ClearFinalProper is a machine learning model from m4faisal. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
68
Public
Repo size
792 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.3 MB · 74%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- 1470ce28
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. -->
NLI-Lora-Fine-Tuning-ClearFinalProper
This model is a fine-tuned version of albert-base-v2 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024