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finetuned-Accident-MultipleLabels-Others – AI Model by pavitemple | AlphaNeural AI
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finetuned-Accident-MultipleLabels-Others
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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-Others
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: 1.8870
Accuracy: 0.2
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
0.25
5
1.8386
0.2857
1.9251
1.25
10
1.7164
0.4
1.9251
2.25
15
1.7367
0.2571
1.5856
3.25
20
1.7863
0.1143
Framework versions
Transformers 4.35.2
Pytorch 2.2.0.dev20231202+cu121
Datasets 2.15.0
Tokenizers 0.15.0
