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