metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-groub2-finetuned-SLT-subset
    results: []

videomae-base-groub2-finetuned-SLT-subset

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: 2.8934
Accuracy: 0.1429

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: 1
eval_batch_size: 1
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: 63

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4317	0.33	21	2.9835	0.0952
3.2385	1.33	42	2.9287	0.1429
3.0757	2.33	63	2.8934	0.1429

Framework versions

Transformers 4.33.0
Pytorch 2.0.0+cpu
Datasets 2.1.0
Tokenizers 0.13.3