Downloads · 30 days
11
28% of all-time downloads
fine_tuned_boolq__XLMroberta
tjasad/fine_tuned_boolq__XLMroberta
fine_tuned_boolq__XLMroberta is a text classification model from tjasad. 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
40
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 23, 2024
- Updated
- May 23, 2024
- SHA
- 1cacbd49
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_boolq__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: 2.9741
- Accuracy: 0.6111
- F1: 0.6255
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 |
|---|---|---|---|---|---|
| 0.671 | 4.1667 | 50 | 0.5406 | 0.7778 | 0.6806 |
| 0.4838 | 8.3333 | 100 | 0.6437 | 0.6667 | 0.6667 |
| 0.2531 | 12.5 | 150 | 1.1091 | 0.6667 | 0.6667 |
| 0.0646 | 16.6667 | 200 | 1.5667 | 0.7222 | 0.7072 |
| 0.0016 | 20.8333 | 250 | 2.3289 | 0.6111 | 0.6255 |
| 0.001 | 25.0 | 300 | 2.6698 | 0.6111 | 0.6255 |
| 0.0005 | 29.1667 | 350 | 2.9762 | 0.6111 | 0.6255 |
| 0.0005 | 33.3333 | 400 | 2.9741 | 0.6111 | 0.6255 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 23, 2024
- Updated
- May 23, 2024