metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-IEMOCAP_videos-finetuned-IEMOCAP_videos_20
results: []
videomae-base-finetuned-IEMOCAP_videos-finetuned-IEMOCAP_videos_20
This model is a fine-tuned version of minoosh/videomae-base-finetuned-IEMOCAP_videos on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3677
- Accuracy: 0.3375
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: 4
- eval_batch_size: 4
- 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: 4070
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.317 | 0.2 | 815 | 1.3669 | 0.2291 |
| 1.3102 | 1.2 | 1630 | 1.4069 | 0.2698 |
| 1.2155 | 2.2 | 2445 | 1.3784 | 0.2857 |
| 1.1855 | 3.2 | 3260 | 1.3396 | 0.3538 |
| 1.5309 | 4.2 | 4070 | 1.3619 | 0.3055 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3