Downloads · 30 days
11
26% of all-time downloads
Sentimiento-appmovilesPG
misaza/Sentimiento-appmovilesPG
Sentimiento-appmovilesPG is a text classification model from misaza. 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
43
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors435 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- 034dd3e4
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. -->
Sentimiento-appmovilesPG
This model is a fine-tuned version of pysentimiento/robertuito-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3058
- Accuracy: 0.9367
- F1: 0.8364
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: 5e-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 332 | 0.3105 | 0.9217 | 0.8297 |
| 0.3353 | 2.0 | 664 | 0.3109 | 0.9367 | 0.8362 |
| 0.3353 | 3.0 | 996 | 0.3058 | 0.9367 | 0.8364 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 6, 2024
- Updated
- May 6, 2024