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ABL_trad_2d
mrovejaxd/ABL_trad_2d
ABL_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 7, 2024
- SHA
- 55769c63
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_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: 0.6368
- Accuracy: 0.7241
- F1: 0.7233
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 |
|---|---|---|---|---|---|
| 0.7939 | 1.0 | 4683 | 0.7798 | 0.6474 | 0.6450 |
| 0.7018 | 2.0 | 9366 | 0.7128 | 0.6827 | 0.6823 |
| 0.6444 | 3.0 | 14049 | 0.6770 | 0.7058 | 0.7052 |
| 0.6161 | 4.0 | 18732 | 0.6583 | 0.7154 | 0.7129 |
| 0.5789 | 5.0 | 23415 | 0.6368 | 0.7241 | 0.7233 |
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 7, 2024