metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-SLT-subset
results: []
videomae-base-finetuned-SLT-subset
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: 0.4622
- Accuracy: 0.975
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: 2
- eval_batch_size: 2
- 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: 960
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.8796 | 0.06 | 60 | 3.6666 | 0.05 |
| 3.8535 | 1.06 | 120 | 3.4913 | 0.05 |
| 3.7537 | 2.06 | 180 | 3.3941 | 0.075 |
| 3.5163 | 3.06 | 240 | 3.3433 | 0.075 |
| 3.4903 | 4.06 | 300 | 3.2711 | 0.075 |
| 3.4318 | 5.06 | 360 | 3.2221 | 0.1 |
| 3.0782 | 6.06 | 420 | 3.1301 | 0.225 |
| 3.3261 | 7.06 | 480 | 2.9363 | 0.475 |
| 2.8341 | 8.06 | 540 | 2.5592 | 0.5 |
| 2.4863 | 9.06 | 600 | 1.8678 | 0.8 |
| 1.7275 | 10.06 | 660 | 1.2153 | 0.925 |
| 1.2468 | 11.06 | 720 | 0.9454 | 0.95 |
| 0.871 | 12.06 | 780 | 0.7030 | 0.975 |
| 0.6857 | 13.06 | 840 | 0.5486 | 0.95 |
| 0.6182 | 14.06 | 900 | 0.4743 | 1.0 |
| 0.3517 | 15.06 | 960 | 0.4622 | 0.975 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3