Downloads · 30 days
9
3% of all-time downloads
BertFinetuning
zhaoyang/BertFinetuning
BertFinetuning is a machine learning model from zhaoyang. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
339
Public
Repo size
876 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 6, 2021
- SHA
- 20d1671b
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. -->
bert_finetunning
This model is a fine-tuned version of bert-base-uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.4018
- Accuracy: 0.8260
- F1: 0.8786
- Combined Score: 0.8523
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.9.0
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Dec 6, 2021