Downloads · 30 days
9
38% of all-time downloads
BERT_token_classification_AraiEval24_Eng_multi_fixed
MM2157/BERT_token_classification_AraiEval24_Eng_multi_fixed
BERT_token_classification_AraiEval24_Eng_multi_fixed is a machine learning model from MM2157. 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
24
Public
Repo size
4.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 06b37303
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_token_classification_AraiEval24_Eng_multi_fixed
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4336
- Precision: 0.1453
- Recall: 0.0823
- F1: 0.1051
- Accuracy: 0.7108
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.0838 | 1.0 | 1022 | 1.1929 | 0.2613 | 0.0244 | 0.0446 | 0.7425 |
| 0.9072 | 2.0 | 2044 | 1.1457 | 0.2189 | 0.0377 | 0.0644 | 0.7384 |
| 0.7979 | 3.0 | 3066 | 1.1715 | 0.1527 | 0.0768 | 0.1022 | 0.7204 |
| 0.686 | 4.0 | 4088 | 1.2482 | 0.1517 | 0.0631 | 0.0892 | 0.7124 |
| 0.5867 | 5.0 | 5110 | 1.2194 | 0.1365 | 0.0768 | 0.0983 | 0.7136 |
| 0.5155 | 6.0 | 6132 | 1.2860 | 0.1435 | 0.0726 | 0.0964 | 0.7133 |
| 0.4596 | 7.0 | 7154 | 1.3243 | 0.1439 | 0.0918 | 0.1121 | 0.7040 |
| 0.4046 | 8.0 | 8176 | 1.4048 | 0.1540 | 0.0765 | 0.1022 | 0.7139 |
| 0.3728 | 9.0 | 9198 | 1.4201 | 0.1441 | 0.0885 | 0.1097 | 0.7073 |
| 0.3451 | 10.0 | 10220 | 1.4336 | 0.1453 | 0.0823 | 0.1051 | 0.7108 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- License
- apache-2.0
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024