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ABL_trad_g
mrovejaxd/ABL_trad_g
ABL_trad_g is a text classification model from mrovejaxd. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 22, 2024
- Updated
- May 23, 2024
- SHA
- 6c187726
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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. -->
ABL_trad_g
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8036
- Accuracy: 0.685
- F1: 0.6817
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-06
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0352 | 1.0 | 1000 | 0.9705 | 0.5575 | 0.5434 |
| 0.8786 | 2.0 | 2000 | 0.8527 | 0.6 | 0.5990 |
| 0.7943 | 3.0 | 3000 | 0.8156 | 0.6125 | 0.6097 |
| 0.7544 | 4.0 | 4000 | 0.7883 | 0.6508 | 0.6490 |
| 0.713 | 5.0 | 5000 | 0.7780 | 0.6492 | 0.6455 |
| 0.6854 | 6.0 | 6000 | 0.7630 | 0.675 | 0.6728 |
| 0.644 | 7.0 | 7000 | 0.7692 | 0.6733 | 0.6708 |
| 0.6051 | 8.0 | 8000 | 0.7651 | 0.6808 | 0.6782 |
| 0.5926 | 9.0 | 9000 | 0.7566 | 0.6792 | 0.6772 |
| 0.547 | 10.0 | 10000 | 0.7746 | 0.6858 | 0.6830 |
| 0.5197 | 11.0 | 11000 | 0.7924 | 0.6733 | 0.6697 |
| 0.4762 | 12.0 | 12000 | 0.8036 | 0.685 | 0.6817 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 22, 2024
- Updated
- May 23, 2024