model_timesformer_subset_02

This model is a fine-tuned version of namnh2002/model_timesformer_subset_02 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4130
• Accuracy: 0.8852

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
• gradient_accumulation_steps: 2
• 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: 6250

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9368	0.1	625	1.8302	0.5026
0.9936	1.1	1250	1.3368	0.6081
0.9407	2.1	1875	1.1348	0.6794
0.8338	3.1	2500	0.9604	0.7270
0.629	4.1	3125	0.7775	0.7684
0.4094	5.1	3750	0.6939	0.8056
0.398	6.1	4375	0.5883	0.8366
0.3242	7.1	5000	0.4594	0.8707
0.2768	8.1	5625	0.5158	0.8604
0.2571	9.1	6250	0.4130	0.8852

Framework versions

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