Downloads · 30 days
9
4% of all-time downloads
multibert2209_scrambled
Tommert25/multibert2209_scrambled
multibert2209_scrambled is a token classification model from Tommert25. 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
256
Public
Repo size
11.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin667 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 22, 2023
- Updated
- Sep 22, 2023
- SHA
- 9b0faed4
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. -->
multibertfinetuned2209
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3973
- Precision: 0.7567
- Recall: 0.7607
- F1: 0.7587
- Accuracy: 0.9064
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: 32
- eval_batch_size: 32
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 118 | 0.4058 | 0.7597 | 0.7343 | 0.7468 | 0.9032 |
| No log | 2.0 | 236 | 0.3973 | 0.7567 | 0.7607 | 0.7587 | 0.9064 |
| No log | 3.0 | 354 | 0.4153 | 0.7540 | 0.7677 | 0.7608 | 0.9062 |
| No log | 4.0 | 472 | 0.4656 | 0.7645 | 0.7466 | 0.7555 | 0.9082 |
| 0.0692 | 5.0 | 590 | 0.4940 | 0.7594 | 0.7554 | 0.7574 | 0.9043 |
| 0.0692 | 6.0 | 708 | 0.5446 | 0.7668 | 0.7484 | 0.7575 | 0.9059 |
| 0.0692 | 7.0 | 826 | 0.5732 | 0.7818 | 0.7420 | 0.7613 | 0.9069 |
| 0.0692 | 8.0 | 944 | 0.5668 | 0.7844 | 0.7431 | 0.7632 | 0.9082 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 22, 2023
- Updated
- Sep 22, 2023