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videomae-base-finetuned-ucf101-subset – AI Model by saba003 | AlphaNeural AI
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videomae-base-finetuned-ucf101-subset
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transformers
tensorboard
safetensors
videomae
generated_from_trainer
endpoints_compatible
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videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2213
Accuracy: 0.2839
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: 0.1
training_steps: 148
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.4441
0.2568
38
2.3019
0.2857
1.9821
1.2568
76
2.1692
0.1143
1.9084
2.2568
114
2.2854
0.2
1.783
3.2297
148
2.1290
0.2143
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu118
Datasets 2.19.1
Tokenizers 0.19.1
