model_timesformer_batch16_gas4

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:

• Loss: 1.6371
• Accuracy: 0.5365

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: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.649	0.33	1000	1.7987	0.49
1.541	1.33	2000	1.6730	0.5215
1.1614	2.33	3000	1.6371	0.5365

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2