Downloads · 30 days
4
9% of all-time downloads
2504separado5
adriansanz/2504separado5
2504separado5 is a text classification model from adriansanz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
45
Public
Parameters
125M
2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024
- SHA
- e2113bd3
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. -->
2504separado5
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6571
- Accuracy: 0.8487
- Precision: 0.8491
- Recall: 0.8487
- F1: 0.8487
- Ratio: 0.5168
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 4
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
|---|---|---|---|---|---|---|---|---|
| 0.3101 | 0.9870 | 38 | 0.7275 | 0.8445 | 0.8465 | 0.8445 | 0.8443 | 0.4622 |
| 0.3189 | 2.0 | 77 | 0.7399 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.5126 |
| 0.3786 | 2.9870 | 115 | 0.7200 | 0.8361 | 0.8390 | 0.8361 | 0.8358 | 0.5462 |
| 0.3816 | 3.9481 | 152 | 0.6571 | 0.8487 | 0.8491 | 0.8487 | 0.8487 | 0.5168 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024