Downloads · 30 days
6
1% of all-time downloads
bert-finetuned-sem_eval-english
Kritawat/bert-finetuned-sem_eval-english
bert-finetuned-sem_eval-english is a text classification model from Kritawat. 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
496
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 1, 2024
- Updated
- Apr 1, 2024
- SHA
- 3985ef79
Try a prompt
Base models
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-finetuned-sem_eval-english
This model is a fine-tuned version of SamLowe/roberta-base-go_emotions on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1189
- F1: 0.5833
- Roc Auc: 0.7555
- Accuracy: 0.3939
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 29 | 0.1381 | 0.5217 | 0.7178 | 0.3030 |
| No log | 2.0 | 58 | 0.1193 | 0.5532 | 0.7367 | 0.3636 |
| No log | 3.0 | 87 | 0.1220 | 0.5417 | 0.7355 | 0.3636 |
| No log | 4.0 | 116 | 0.1189 | 0.5833 | 0.7555 | 0.3939 |
| No log | 5.0 | 145 | 0.1186 | 0.5833 | 0.7555 | 0.3939 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 1, 2024
- Updated
- Apr 1, 2024