metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: mvit_v1_rwf-2000
results: []
mvit_v1_rwf-2000
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4447
- Accuracy: 0.8938
- F1: 0.8937
- Precision: 0.8940
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1520
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.5548 | 0.125 | 190 | 0.4052 | 0.875 | 0.8737 | 0.8906 |
| 0.5137 | 1.125 | 380 | 0.3075 | 0.8688 | 0.8681 | 0.8759 |
| 0.3765 | 2.125 | 570 | 0.3078 | 0.8688 | 0.8679 | 0.8788 |
| 0.3435 | 3.125 | 760 | 0.2652 | 0.9125 | 0.9124 | 0.9135 |
| 0.0875 | 4.125 | 950 | 0.3103 | 0.9125 | 0.9124 | 0.9148 |
| 0.3563 | 5.125 | 1140 | 0.3361 | 0.9187 | 0.9186 | 0.9220 |
| 0.2176 | 6.125 | 1330 | 0.3506 | 0.9187 | 0.9187 | 0.9204 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.0.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1