Downloads · 30 days
2
1% of all-time downloads
sentiment-roberta-e8-b16
YanJiangJerry/sentiment-roberta-e8-b16
sentiment-roberta-e8-b16 is a text classification model from YanJiangJerry. 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
307
Public
Repo size
10 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.4 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 14, 2023
- Updated
- Jul 14, 2023
- SHA
- 81b0dc8f
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. -->
sentiment-roberta-e8-b16
This model is a fine-tuned version of siebert/sentiment-roberta-large-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7439
- F1: 0.7547
- Recall: 0.7547
- Precision: 0.7547
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision |
|---|---|---|---|---|---|---|
| No log | 1.0 | 375 | 0.7842 | 0.7224 | 0.7224 | 0.7224 |
| 0.7132 | 2.0 | 750 | 0.7851 | 0.7547 | 0.7547 | 0.7547 |
| 0.3587 | 3.0 | 1125 | 1.2599 | 0.7493 | 0.7493 | 0.7493 |
| 0.2361 | 4.0 | 1500 | 1.2364 | 0.7628 | 0.7628 | 0.7628 |
| 0.2361 | 5.0 | 1875 | 1.3809 | 0.7709 | 0.7709 | 0.7709 |
| 0.138 | 6.0 | 2250 | 1.5058 | 0.7682 | 0.7682 | 0.7682 |
| 0.1027 | 7.0 | 2625 | 1.6364 | 0.7574 | 0.7574 | 0.7574 |
| 0.0493 | 8.0 | 3000 | 1.7439 | 0.7547 | 0.7547 | 0.7547 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 14, 2023
- Updated
- Jul 14, 2023