Downloads · 30 days
12
22% of all-time downloads
fine_tuned_rte_XLMroberta
anzeo/fine_tuned_rte_XLMroberta
fine_tuned_rte_XLMroberta is a text classification model from anzeo. 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
55
Public
Parameters
278M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 22, 2024
- Updated
- May 22, 2024
- SHA
- afe7dd71
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. -->
fine_tuned_rte_XLMroberta
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4763
- Accuracy: 0.6207
- F1: 0.5951
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
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7117 | 1.7241 | 50 | 0.7129 | 0.4138 | 0.2422 |
| 0.7033 | 3.4483 | 100 | 0.6997 | 0.4138 | 0.2422 |
| 0.6845 | 5.1724 | 150 | 0.6933 | 0.4828 | 0.4828 |
| 0.6378 | 6.8966 | 200 | 0.8005 | 0.4828 | 0.4668 |
| 0.4579 | 8.6207 | 250 | 0.9656 | 0.6207 | 0.5951 |
| 0.2521 | 10.3448 | 300 | 1.2302 | 0.6552 | 0.6018 |
| 0.1196 | 12.0690 | 350 | 1.4679 | 0.5862 | 0.5789 |
| 0.0653 | 13.7931 | 400 | 1.4763 | 0.6207 | 0.5951 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 22, 2024
- Updated
- May 22, 2024