metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: profesor_MViT_O_UCFCRIME
results: []
profesor_MViT_O_UCFCRIME
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6919
- Accuracy: 0.5344
- F1: 0.5379
- Precision: 0.5482
- Recall: 0.5344
- Roc Auc: 0.5503
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: 72
- training_steps: 720
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.6883 | 2.0236 | 72 | 0.6839 | 0.5993 | 0.5953 | 0.6136 | 0.5993 | 0.6495 |
| 0.6687 | 5.0083 | 144 | 0.6742 | 0.5914 | 0.5807 | 0.6174 | 0.5914 | 0.7125 |
| 0.6698 | 7.0319 | 216 | 0.6704 | 0.5767 | 0.5587 | 0.6117 | 0.5767 | 0.7110 |
| 0.6401 | 10.0181 | 288 | 0.6626 | 0.5705 | 0.5488 | 0.6097 | 0.5705 | 0.7163 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.0.1+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1