finetuned-Accident-MultipleLabels-Video-subset-v2-new3

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7434
  • Accuracy: 0.3333

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: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 35

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.06 2 1.9011 0.1719
No log 1.06 4 1.8469 0.3281
No log 2.06 6 1.8533 0.3281
No log 3.06 8 1.9122 0.3281
1.6429 4.06 10 1.9870 0.3125
1.6429 5.06 12 1.9921 0.2969
1.6429 6.06 14 1.9683 0.3125
1.6429 7.06 16 1.9313 0.3125
1.6429 8.06 18 1.9203 0.3125
1.4144 9.06 20 1.9251 0.3125
1.4144 10.06 22 1.9316 0.2969
1.4144 11.06 24 1.9455 0.2969
1.4144 12.06 26 1.9723 0.2969
1.4144 13.06 28 1.9897 0.2969
1.3307 14.06 30 2.0000 0.2969
1.3307 15.06 32 2.0063 0.2969
1.3307 16.06 34 2.0072 0.2969
1.3307 17.03 35 2.0082 0.2969

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.2.0.dev20231202+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
Downloads last month
17
Safetensors
Model size
86.2M params
Tensor type
F32
·
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for pavitemple/finetuned-Accident-MultipleLabels-Video-subset-v2-new3

Finetuned
(421)
this model