metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-IEMOCAP_4
results: []
videomae-base-finetuned-IEMOCAP_4
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3971
- Accuracy: 0.2747
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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4490
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3364 | 0.1 | 450 | 1.4142 | 0.2882 |
| 1.3951 | 1.1 | 900 | 1.3692 | 0.3058 |
| 1.2918 | 2.1 | 1350 | 1.3544 | 0.3357 |
| 1.2283 | 3.1 | 1800 | 1.3673 | 0.3298 |
| 1.2638 | 4.1 | 2250 | 1.3652 | 0.3404 |
| 1.2674 | 5.1 | 2700 | 1.3265 | 0.3538 |
| 1.2737 | 6.1 | 3150 | 1.3092 | 0.3802 |
| 1.1625 | 7.1 | 3600 | 1.2969 | 0.3884 |
| 1.35 | 8.1 | 4050 | 1.3067 | 0.3726 |
| 1.1373 | 9.1 | 4490 | 1.2835 | 0.3972 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3