Downloads · 30 days
8
1% of all-time downloads
robbert-twitter-sentiment-tokenized
btjiong/robbert-twitter-sentiment-tokenized
robbert-twitter-sentiment-tokenized is a text classification model from btjiong. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.2K
Public
Repo size
1.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin467 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 7, 2022
- Updated
- Apr 7, 2022
- SHA
- 4d63b4a4
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. -->
robbert-twitter-sentiment-tokenized
This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on the dutch_social dataset. It achieves the following results on the evaluation set:
- Loss: 0.5473
- Accuracy: 0.814
- F1: 0.8133
- Precision: 0.8131
- Recall: 0.814
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6895 | 1.0 | 282 | 0.6307 | 0.7433 | 0.7442 | 0.7500 | 0.7433 |
| 0.4948 | 2.0 | 564 | 0.5189 | 0.8053 | 0.8062 | 0.8081 | 0.8053 |
| 0.2642 | 3.0 | 846 | 0.5473 | 0.814 | 0.8133 | 0.8131 | 0.814 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cpu
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 7, 2022
- Updated
- Apr 7, 2022