Downloads · 30 days
3
18% of all-time downloads
BERT-finetuned-ner-pablo-classifier-then-full-model
pabRomero/BERT-finetuned-ner-pablo-classifier-then-full-model
BERT-finetuned-ner-pablo-classifier-then-full-model is a machine learning model from pabRomero. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
17
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024
- SHA
- 75bf2934
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-finetuned-ner-pablo-classifier-then-full-model
This model is a fine-tuned version of pabRomero/BERT-finetuned-ner-pablo-just-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1088
- Precision: 0.8067
- Recall: 0.8050
- F1: 0.8058
- Accuracy: 0.9711
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1467 | 0.9996 | 652 | 0.1055 | 0.8107 | 0.7464 | 0.7772 | 0.9691 |
| 0.0889 | 1.9992 | 1304 | 0.1018 | 0.8135 | 0.7834 | 0.7982 | 0.9715 |
| 0.0617 | 2.9989 | 1956 | 0.1088 | 0.8067 | 0.8050 | 0.8058 | 0.9711 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024