results
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k600 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 10.6615
- eval_accuracy: 0.0045
- eval_runtime: 316.1492
- eval_samples_per_second: 6.326
- eval_steps_per_second: 0.791
- step: 0
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: 4000
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Inference Providers
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Model tree for namnh2002/results
Base model
facebook/timesformer-base-finetuned-k600