Downloads · 30 days
3
9% of all-time downloads
Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news
DioBot2000/Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news
Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news is a token classification model from DioBot2000. Use it when you need labels on individual words, such as names. 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
35
Public
Parameters
177M
709 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors709 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 24, 2024
- Updated
- May 24, 2024
- SHA
- 8937a9fe
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. -->
Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6206
- Accuracy: 0.3654
- Precision: 0.5146
- Recall: 0.5208
- F1: 0.4022
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 132 | 0.6667 | 0.3546 | 0.5202 | 0.4775 | 0.3676 |
| No log | 2.0 | 264 | 0.6564 | 0.3574 | 0.5171 | 0.4956 | 0.3796 |
| No log | 3.0 | 396 | 0.6472 | 0.3599 | 0.5112 | 0.4998 | 0.3840 |
| 0.6062 | 4.0 | 528 | 0.6354 | 0.3622 | 0.5107 | 0.5109 | 0.3927 |
| 0.6062 | 5.0 | 660 | 0.6282 | 0.3641 | 0.5198 | 0.5115 | 0.3962 |
| 0.6062 | 6.0 | 792 | 0.6254 | 0.3647 | 0.5192 | 0.5176 | 0.3988 |
| 0.6062 | 7.0 | 924 | 0.6212 | 0.3653 | 0.5156 | 0.5224 | 0.4040 |
| 0.5499 | 8.0 | 1056 | 0.6206 | 0.3654 | 0.5146 | 0.5208 | 0.4022 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 24, 2024