metadata

library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly1
    results: []

datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly1

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: 1.0510
Accuracy: 0.6548

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: 3.1622776601683795e-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: polynomial
training_steps: 3096

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.46	0.5003	1549	1.6410	0.4834
1.488	1.4997	3096	1.3579	0.5760

Framework versions

Transformers 4.44.2
Pytorch 2.4.1
Datasets 3.3.2
Tokenizers 0.19.1