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16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1
dsmsb/16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1
16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1 is a text classification model from dsmsb. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023
- SHA
- 90bf3892
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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. -->
16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0430
- Accuracy: 0.9904
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: 1e-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: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6916 | 1.0 | 737 | 0.7956 | 0.7607 |
| 0.9062 | 2.0 | 1474 | 0.4648 | 0.8621 |
| 0.5081 | 3.0 | 2211 | 0.3367 | 0.9010 |
| 0.4278 | 4.0 | 2948 | 0.2179 | 0.9364 |
| 0.2806 | 5.0 | 3685 | 0.1540 | 0.9575 |
| 0.2383 | 6.0 | 4422 | 0.1077 | 0.9715 |
| 0.1633 | 7.0 | 5159 | 0.0844 | 0.9784 |
| 0.157 | 8.0 | 5896 | 0.0632 | 0.9851 |
| 0.1146 | 9.0 | 6633 | 0.0534 | 0.9881 |
| 0.0928 | 10.0 | 7370 | 0.0456 | 0.9896 |
| 0.0793 | 11.0 | 8107 | 0.0430 | 0.9904 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023