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FNST_trad_g
mrovejaxd/FNST_trad_g
FNST_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
- eee8ffc6
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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. -->
FNST_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: 0.8709
- Accuracy: 0.6667
- F1: 0.6510
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 |
|---|---|---|---|---|---|
| 1.1501 | 1.0 | 1000 | 1.0940 | 0.5208 | 0.3539 |
| 0.9834 | 2.0 | 2000 | 0.9339 | 0.5883 | 0.5317 |
| 0.8949 | 3.0 | 3000 | 0.8767 | 0.6233 | 0.6071 |
| 0.8316 | 4.0 | 4000 | 0.8421 | 0.64 | 0.6185 |
| 0.7873 | 5.0 | 5000 | 0.8242 | 0.645 | 0.6211 |
| 0.7676 | 6.0 | 6000 | 0.8323 | 0.6525 | 0.6356 |
| 0.7196 | 7.0 | 7000 | 0.8204 | 0.6542 | 0.6352 |
| 0.6937 | 8.0 | 8000 | 0.8229 | 0.6608 | 0.6449 |
| 0.6493 | 9.0 | 9000 | 0.8427 | 0.6617 | 0.6450 |
| 0.6254 | 10.0 | 10000 | 0.8474 | 0.6667 | 0.6502 |
| 0.5911 | 11.0 | 11000 | 0.8611 | 0.6708 | 0.6551 |
| 0.5732 | 12.0 | 12000 | 0.8709 | 0.6667 | 0.6510 |
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