Downloads · 30 days
8
2% of all-time downloads
mpnet-base-finetuned-AdamW-mnli
NicolasLe/mpnet-base-finetuned-AdamW-mnli
mpnet-base-finetuned-AdamW-mnli is a text classification model from NicolasLe. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
520
Public
Repo size
8.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- mpnet
- Access
- Public
- Created
- Dec 29, 2022
- Updated
- Mar 1, 2023
- SHA
- 7b791144
Try a prompt
Datasets
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. -->
mpnet-base-finetuned-AdamW-mnli
This model is a fine-tuned version of microsoft/mpnet-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5741
- Accuracy: 0.8290
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: 6.7e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 196351
- num_epochs: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6323 | 0.2 | 19636 | 0.5741 | 0.8290 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- mpnet
- Created
- Dec 29, 2022
- Updated
- Mar 1, 2023