metadata
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-IEMOCAP_1xxx
results: []
videomae-base-finetuned-IEMOCAP_1xxx
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: 3.5410
- F1: 0.3122
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: 4440
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1898 | 0.1 | 445 | 1.4498 | 0.2386 |
| 0.8823 | 1.1 | 890 | 1.1752 | 0.4500 |
| 0.9551 | 2.1 | 1335 | 1.0926 | 0.5148 |
| 0.3473 | 3.1 | 1780 | 0.8426 | 0.6929 |
| 0.3696 | 4.1 | 2225 | 1.0283 | 0.6745 |
| 0.3198 | 5.1 | 2670 | 1.0346 | 0.7329 |
| 0.1408 | 6.1 | 3115 | 1.1931 | 0.7278 |
| 0.2707 | 7.1 | 3560 | 1.3167 | 0.7492 |
| 0.0056 | 8.1 | 4005 | 1.4910 | 0.7418 |
| 0.03 | 9.1 | 4440 | 1.4809 | 0.7460 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.0+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1