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ABL_trad_2g
mrovejaxd/ABL_trad_2g
ABL_trad_2g 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 25, 2024
- Updated
- Sep 26, 2024
- SHA
- d945f66e
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_2g
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: 0.7368
- Accuracy: 0.7594
- F1: 0.7583
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-07
- 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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7967 | 1.0 | 4683 | 0.7805 | 0.6444 | 0.6437 |
| 0.713 | 2.0 | 9366 | 0.7182 | 0.6826 | 0.6809 |
| 0.6496 | 3.0 | 14049 | 0.6774 | 0.7078 | 0.7070 |
| 0.6205 | 4.0 | 18732 | 0.6500 | 0.7190 | 0.7182 |
| 0.5875 | 5.0 | 23415 | 0.6315 | 0.7304 | 0.7296 |
| 0.5494 | 6.0 | 28098 | 0.6289 | 0.7362 | 0.7351 |
| 0.5261 | 7.0 | 32781 | 0.6281 | 0.7401 | 0.7389 |
| 0.4968 | 8.0 | 37464 | 0.6281 | 0.7454 | 0.7442 |
| 0.4478 | 9.0 | 42147 | 0.6244 | 0.7477 | 0.7459 |
| 0.4476 | 10.0 | 46830 | 0.6270 | 0.7529 | 0.7516 |
| 0.4033 | 11.0 | 51513 | 0.6414 | 0.7548 | 0.7532 |
| 0.3984 | 12.0 | 56196 | 0.6558 | 0.7570 | 0.7553 |
| 0.3577 | 13.0 | 60879 | 0.6742 | 0.7593 | 0.7584 |
| 0.353 | 14.0 | 65562 | 0.6918 | 0.7619 | 0.7611 |
| 0.3261 | 15.0 | 70245 | 0.7103 | 0.7618 | 0.7610 |
| 0.3248 | 16.0 | 74928 | 0.7368 | 0.7594 | 0.7583 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Type
- bert
- Created
- Sep 25, 2024
- Updated
- Sep 26, 2024