metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: mvit_v1_b_transf_c_rwf2000
results: []
mvit_v1_b_transf_c_rwf2000
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6310
- Accuracy: 0.6
- F1: 0.5949
- Precision: 0.6053
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: 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: 2850
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.7632 | 0.0667 | 190 | 0.7135 | 0.475 | 0.3593 | 0.4099 |
| 0.7848 | 1.0667 | 380 | 0.6864 | 0.575 | 0.5467 | 0.6 |
| 0.712 | 2.0667 | 570 | 0.6801 | 0.6188 | 0.6133 | 0.6258 |
| 0.6699 | 3.0667 | 760 | 0.6467 | 0.6625 | 0.6591 | 0.6693 |
| 0.6366 | 4.0667 | 950 | 0.7547 | 0.5437 | 0.4719 | 0.5959 |
| 0.7712 | 5.0667 | 1140 | 0.6155 | 0.6562 | 0.6502 | 0.6678 |
| 0.6199 | 6.0667 | 1330 | 0.6310 | 0.6 | 0.5949 | 0.6053 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1