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finetuned-Accident-MultipleLabels-Video-subset-v2-new – AI Model by pavitemple | AlphaNeural AI
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finetuned-Accident-MultipleLabels-Video-subset-v2-new
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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finetuned-Accident-MultipleLabels-Video-subset-v2-new
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: 1.7905
Accuracy: 0.3333
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.2
4
1.9753
0.1406
No log
1.2
8
1.9765
0.0938
1.7405
2.2
12
2.0965
0.0938
1.7405
3.2
16
2.1152
0.0469
1.4691
4.2
20
2.1130
0.0469
Framework versions
Transformers 4.35.2
Pytorch 2.2.0.dev20231202+cu121
Datasets 2.15.0
Tokenizers 0.15.0
