metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-finetuned_39
results: []
videomae-finetuned_39
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2762
- Accuracy: 0.3457
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: 0.2
- training_steps: 54160
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5558 | 0.05 | 2709 | 4.2762 | 0.3457 |
| 0.5573 | 1.05 | 5418 | 5.4086 | 0.3340 |
| 0.5828 | 2.05 | 8127 | 5.5041 | 0.3205 |
| 0.5675 | 3.05 | 10836 | 6.0256 | 0.2988 |
| 0.5578 | 4.05 | 13545 | 6.6278 | 0.3198 |
| 0.3451 | 5.05 | 16254 | 6.5753 | 0.3027 |
| 0.4555 | 6.05 | 18963 | 6.7402 | 0.3112 |
| 0.5271 | 7.05 | 21672 | 7.1148 | 0.3037 |
| 0.3353 | 8.05 | 24381 | 6.9036 | 0.3254 |
| 0.3414 | 9.05 | 27090 | 6.6694 | 0.3281 |
| 0.3493 | 10.05 | 29799 | 6.8241 | 0.3345 |
| 0.2228 | 11.05 | 32508 | 7.3151 | 0.3240 |
| 0.0894 | 12.05 | 35217 | 7.5526 | 0.3269 |
| 0.2138 | 13.05 | 37926 | 7.0634 | 0.3276 |
| 0.295 | 14.05 | 40635 | 6.9772 | 0.3323 |
| 0.1493 | 15.05 | 43344 | 7.3242 | 0.3340 |
| 0.1968 | 16.05 | 46053 | 7.3585 | 0.3359 |
| 0.151 | 17.05 | 48762 | 7.4257 | 0.3413 |
| 0.0955 | 18.05 | 51471 | 7.5148 | 0.3386 |
| 0.0552 | 19.05 | 54160 | 7.4669 | 0.3401 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2