Downloads · 30 days
5
2% of all-time downloads
DSChallenge_Roberta_Base_10Epochs
leonardosaveri/DSChallenge_Roberta_Base_10Epochs
DSChallenge_Roberta_Base_10Epochs is a text classification model from leonardosaveri. 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
290
Public
Repo size
2.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 4, 2023
- Updated
- May 4, 2023
- SHA
- 38b1ca9d
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. -->
DSChallenge_Roberta_Base_10Epochs
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3678
- Accuracy: 0.9428
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0769 | 1.0 | 793 | 0.2022 | 0.9410 |
| 0.1081 | 2.0 | 1586 | 0.2630 | 0.9423 |
| 0.0563 | 3.0 | 2379 | 0.2948 | 0.9477 |
| 0.0296 | 4.0 | 3172 | 0.3678 | 0.9428 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 4, 2023
- Updated
- May 4, 2023