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videomae-base-finetuned-movienet-take2-finetuned-movienet-take3 – AI Model by dvs | AlphaNeural AI
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dvs
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videomae-base-finetuned-movienet-take2-finetuned-movienet-take3
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transformers
pytorch
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
dvs/videomae-base-finetuned-movienet-take2
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-movienet-take2-finetuned-movienet-take3
This model is a fine-tuned version of
dvs/videomae-base-finetuned-movienet-take2
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.4087
eval_accuracy: 0.7396
eval_runtime: 167.2166
eval_samples_per_second: 1.148
eval_steps_per_second: 0.144
epoch: 3.02
step: 631
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
training_steps: 2960
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
