Downloads · 30 days
11
15% of all-time downloads
finetuned-marbert-random-dataset
aomar85/finetuned-marbert-random-dataset
finetuned-marbert-random-dataset is a text classification model from aomar85. 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
74
Public
Repo size
2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin651 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 30, 2022
- Updated
- Jul 31, 2022
- SHA
- 8721622a
Try a prompt
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. -->
finetuned-marbert-random-dataset
This model is a fine-tuned version of UBC-NLP/MARBERTv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0516
- Accuracy: 0.9934
- Precision: 0.9999
- Recall: 0.9869
- F1: 0.9933
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0213 | 1.0 | 62920 | 0.0158 | 0.9973 | 0.9984 | 0.9961 | 0.9973 |
| 0.0171 | 2.0 | 125840 | 0.0140 | 0.9976 | 0.9968 | 0.9983 | 0.9976 |
| 0.0145 | 3.0 | 188760 | 0.0168 | 0.9977 | 0.9969 | 0.9985 | 0.9977 |
| 0.0087 | 4.0 | 251680 | 0.0166 | 0.9973 | 0.9995 | 0.9951 | 0.9973 |
| 0.0066 | 5.0 | 314600 | 0.0516 | 0.9934 | 0.9999 | 0.9869 | 0.9933 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 30, 2022
- Updated
- Jul 31, 2022