metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-caer-subset-5-classes-base-model
    results: []

videomae-base-finetuned-caer-subset-5-classes-base-model

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: 1.6938
Accuracy: 0.2329

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: 2
eval_batch_size: 2
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: 250

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5763	0.56	139	1.6413	0.2667
1.5825	1.44	250	1.6155	0.2

Framework versions

Transformers 4.38.2
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2