Downloads · 30 days
9
15% of all-time downloads
distilbert-base-uncased-finetunned-elementos-contractuales
Ecoarchitecture/distilbert-base-uncased-finetunned-elementos-contractuales
distilbert-base-uncased-finetunned-elementos-contractuales is a text classification model from Ecoarchitecture. 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
61
Public
Parameters
67M
1.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 6, 2024
- Updated
- Feb 8, 2024
- SHA
- babb1f42
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. -->
distilbert-base-uncased-finetunned-elementos-contractuales
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0947
- Accuracy: 0.8398
- F1: 0.8564
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 39 | 0.9113 | 0.8356 | 0.8527 |
| No log | 2.0 | 78 | 1.0381 | 0.8339 | 0.8527 |
| No log | 3.0 | 117 | 0.9843 | 0.8297 | 0.8490 |
| No log | 4.0 | 156 | 1.0604 | 0.8381 | 0.8554 |
| No log | 5.0 | 195 | 1.0013 | 0.8424 | 0.8582 |
| No log | 6.0 | 234 | 1.0472 | 0.8398 | 0.8567 |
| No log | 7.0 | 273 | 1.1018 | 0.8364 | 0.8543 |
| No log | 8.0 | 312 | 1.0839 | 0.8381 | 0.8554 |
| No log | 9.0 | 351 | 1.0961 | 0.8381 | 0.8553 |
| No log | 10.0 | 390 | 1.0947 | 0.8398 | 0.8564 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 6, 2024
- Updated
- Feb 8, 2024