Downloads · 30 days
6
14% of all-time downloads
bert-base-multilingual-cased-finetuned-autext24
andricValdez/bert-base-multilingual-cased-finetuned-autext24
bert-base-multilingual-cased-finetuned-autext24 is a text classification model from andricValdez. 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
44
Public
Parameters
178M
8.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 23, 2024
- Updated
- May 23, 2024
- SHA
- cb047fab
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. -->
bert-base-multilingual-cased-finetuned-autext24
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3038
- Accuracy: 0.9495
- F1: 0.9493
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 1200 | 0.1397 | 0.9470 | 0.9468 |
| 0.1244 | 2.0 | 2400 | 0.2977 | 0.9219 | 0.9211 |
| 0.1244 | 3.0 | 3600 | 0.1958 | 0.9503 | 0.9501 |
| 0.0311 | 4.0 | 4800 | 0.2257 | 0.9545 | 0.9544 |
| 0.0311 | 5.0 | 6000 | 0.3038 | 0.9495 | 0.9493 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 23, 2024
- Updated
- May 23, 2024