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estudiante_S3D_VIOPERU
DanJoshua/estudiante_S3D_VIOPERU
estudiante_S3D_VIOPERU is a machine learning model from DanJoshua. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 4, 2024
- SHA
- 0a2385cb
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. -->
estudiante_S3D_VIOPERU
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6343
- Accuracy: 0.6875
- F1: 0.6537
- Precision: 0.8077
- Recall: 0.6875
- Roc Auc: 0.7296
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-05
- train_batch_size: 75
- eval_batch_size: 75
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 18
- training_steps: 180
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.7424 | 2.0056 | 9 | 0.7396 | 0.5 | 0.3333 | 0.25 | 0.5 | 0.4490 |
| 0.6674 | 4.0111 | 18 | 0.7129 | 0.5179 | 0.3718 | 0.7545 | 0.5179 | 0.5242 |
| 0.6027 | 6.0167 | 27 | 0.7228 | 0.6071 | 0.5354 | 0.78 | 0.6071 | 0.5931 |
| 0.5256 | 8.0222 | 36 | 0.6547 | 0.6607 | 0.6166 | 0.7979 | 0.6607 | 0.6671 |
| 0.4766 | 11.0056 | 45 | 0.6149 | 0.6786 | 0.6415 | 0.8043 | 0.6786 | 0.7181 |
| 0.4165 | 13.0111 | 54 | 0.6709 | 0.6786 | 0.6415 | 0.8043 | 0.6786 | 0.7487 |
| 0.4021 | 15.0167 | 63 | 0.6160 | 0.6786 | 0.6415 | 0.8043 | 0.6786 | 0.7730 |
| 0.3406 | 17.0222 | 72 | 0.5971 | 0.6429 | 0.6111 | 0.7121 | 0.6429 | 0.7972 |
| 0.316 | 20.0056 | 81 | 0.6109 | 0.6607 | 0.6345 | 0.7254 | 0.6607 | 0.8176 |
| 0.2818 | 22.0111 | 90 | 0.5283 | 0.6607 | 0.6345 | 0.7254 | 0.6607 | 0.8393 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.0.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- transformers
- Created
- Nov 3, 2024
- Updated
- Nov 4, 2024