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FNST_trad_2d
mrovejaxd/FNST_trad_2d
FNST_trad_2d is a machine learning model from mrovejaxd. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Sep 8, 2024
- SHA
- d4cf1bab
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_2d
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: 0.8201
- Accuracy: 0.6551
- F1: 0.6494
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: 3e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9542 | 1.0 | 3125 | 0.9395 | 0.5894 | 0.5785 |
| 0.8909 | 2.0 | 6250 | 0.8805 | 0.6155 | 0.6107 |
| 0.8366 | 3.0 | 9375 | 0.8475 | 0.6360 | 0.6293 |
| 0.8078 | 4.0 | 12500 | 0.8286 | 0.6434 | 0.6372 |
| 0.7744 | 5.0 | 15625 | 0.8201 | 0.6551 | 0.6494 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Type
- bert
- Created
- Sep 7, 2024
- Updated
- Sep 8, 2024