Downloads · 30 days
9
13% of all-time downloads
ukr-roberta-base-finetuned-sarc-synth
Snizhanna/ukr-roberta-base-finetuned-sarc-synth
ukr-roberta-base-finetuned-sarc-synth is a text classification model from Snizhanna. 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
70
Public
Parameters
126M
4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors504 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- a2e3f3cb
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. -->
ukr-roberta-base-finetuned-sarc-synth
This model is a fine-tuned version of youscan/ukr-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7871
- Accuracy: 0.7463
- Precision: 0.7862
- Recall: 0.6766
- F1: 0.7273
- Roc Auc: 0.7463
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: 1e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.4042 | 1.0 | 857 | 0.5958 | 0.7305 | 0.7805 | 0.6413 | 0.7041 | 0.7305 |
| 0.3268 | 2.0 | 1714 | 0.5455 | 0.7426 | 0.8321 | 0.6078 | 0.7025 | 0.7426 |
| 0.2641 | 3.0 | 2571 | 0.7019 | 0.7528 | 0.7742 | 0.7138 | 0.7427 | 0.7528 |
| 0.1992 | 4.0 | 3428 | 0.7871 | 0.7463 | 0.7862 | 0.6766 | 0.7273 | 0.7463 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 11, 2024
- Updated
- May 11, 2024