metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: videomae-base-SOCAL1-finetune
    results: []

videomae-base-SOCAL1-finetune

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: 0.8800
F1: 0.6471

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: 1e-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: 92

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	0.25	23	0.8709	0.7108
No log	1.25	46	0.8159	0.7108
No log	2.25	69	0.7319	0.7108
No log	3.25	92	0.7353	0.7108

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.15.0