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estudiante_MC318_profesor_MViT_kl_RWF2000
DanJoshua/estudiante_MC318_profesor_MViT_kl_RWF2000
estudiante_MC318_profesor_MViT_kl_RWF2000 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 28, 2024
- Updated
- Nov 28, 2024
- SHA
- 3baae4b7
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_MC318_profesor_MViT_kl_RWF2000
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3386
- Accuracy: 0.8638
- F1: 0.8636
- Precision: 0.8654
- Recall: 0.8638
- Roc Auc: 0.9395
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: 30
- eval_batch_size: 30
- 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: 159
- training_steps: 1590
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.8254 | 1.0145 | 79 | 0.5375 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8935 |
| 0.6482 | 2.0289 | 158 | 0.3991 | 0.84 | 0.8399 | 0.8409 | 0.84 | 0.9207 |
| 0.5229 | 4.0082 | 237 | 0.3608 | 0.8475 | 0.8469 | 0.8530 | 0.8475 | 0.9380 |
| 0.3968 | 5.0226 | 316 | 0.3226 | 0.8725 | 0.8722 | 0.8759 | 0.8725 | 0.9471 |
| 0.3605 | 7.0019 | 395 | 0.3581 | 0.845 | 0.8433 | 0.8609 | 0.845 | 0.9503 |
| 0.3259 | 8.0164 | 474 | 0.3323 | 0.8425 | 0.8405 | 0.8608 | 0.8425 | 0.9551 |
| 0.2841 | 9.0308 | 553 | 0.3068 | 0.8625 | 0.8617 | 0.8714 | 0.8625 | 0.9574 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.0.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Created
- Nov 28, 2024
- Updated
- Nov 28, 2024