finetuned_video_model

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

• Loss: 0.0674
• Accuracy: 0.9821

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: 1e-05
• train_batch_size: 512
• eval_batch_size: 512
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	14	0.1526	0.9615
No log	2.0	28	0.1366	0.9615
No log	3.0	42	0.1200	0.9654
No log	4.0	56	0.1034	0.9679
No log	5.0	70	0.0903	0.9692
No log	6.0	84	0.0833	0.9692
No log	7.0	98	0.0764	0.9782
No log	8.0	112	0.0745	0.9782
No log	9.0	126	0.0705	0.9808
No log	10.0	140	0.0706	0.9821
No log	11.0	154	0.0678	0.9821
No log	12.0	168	0.0678	0.9821
No log	13.0	182	0.0669	0.9833
No log	14.0	196	0.0677	0.9821
No log	15.0	210	0.0674	0.9821

Framework versions

• Transformers 4.54.1
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4