Downloads · 30 days
7
2% of all-time downloads
roberta-base-finetuned-emotion-aug
kapliff89/roberta-base-finetuned-emotion-aug
roberta-base-finetuned-emotion-aug is a text classification model from kapliff89. 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
311
Public
Parameters
111M
885 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors443 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 13, 2024
- SHA
- 2fddce00
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. -->
roberta-base-finetuned-emotion-aug
This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0248
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2116 | 1.0 | 188 | 0.0409 |
| 0.0166 | 2.0 | 376 | 0.0235 |
| 0.0047 | 3.0 | 564 | 0.0248 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 12, 2024
- Updated
- May 13, 2024