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Timesformer_default_fold_10_10_epoch_noAug_batch8_codecheck – AI Model by Shawon16 | AlphaNeural AI
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Timesformer_default_fold_10_10_epoch_noAug_batch8_codecheck
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transformers
safetensors
timesformer
video-classification
generated_from_trainer
facebook/timesformer-base-finetuned-k400
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Timesformer_default_fold_10_10_epoch_noAug_batch8_codecheck
This model is a fine-tuned version of
facebook/timesformer-base-finetuned-k400
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8131
Accuracy: 0.7849
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: 101
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8303
1.0
101
0.1456
0.9902
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
