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profesor_MViT_O_RLVS
DanJoshua/profesor_MViT_O_RLVS
profesor_MViT_O_RLVS 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
- Oct 31, 2024
- Updated
- Oct 31, 2024
- SHA
- 907c9cd3
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. -->
profesor_MViT_O_RLVS
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0329
- Accuracy: 0.9921
- F1: 0.9921
- Precision: 0.9922
- Recall: 0.9921
- Roc Auc: 0.9997
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: 20
- eval_batch_size: 20
- 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: 237
- training_steps: 2370
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.4418 | 2.0325 | 237 | 0.2877 | 0.9464 | 0.9464 | 0.9477 | 0.9464 | 0.9917 |
| 0.1303 | 5.0312 | 474 | 0.1071 | 0.9705 | 0.9705 | 0.9709 | 0.9705 | 0.9984 |
| 0.0767 | 8.0300 | 711 | 0.0454 | 0.9946 | 0.9946 | 0.9946 | 0.9946 | 0.9998 |
| 0.0628 | 11.0287 | 948 | 0.0341 | 0.9946 | 0.9946 | 0.9947 | 0.9946 | 0.9994 |
| 0.0381 | 14.0274 | 1185 | 0.0157 | 0.9973 | 0.9973 | 0.9973 | 0.9973 | 1.0 |
| 0.0328 | 17.0262 | 1422 | 0.0202 | 0.9946 | 0.9946 | 0.9947 | 0.9946 | 0.9999 |
| 0.0276 | 20.0249 | 1659 | 0.0447 | 0.9866 | 0.9866 | 0.9869 | 0.9866 | 1.0000 |
| 0.0497 | 23.0236 | 1896 | 0.0289 | 0.9946 | 0.9946 | 0.9947 | 0.9946 | 0.9997 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.0.1+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1
- Library
- transformers
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024