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hftest-MHmae
zuvi/hftest-MHmae
hftest-MHmae is a machine learning model from zuvi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Aug 29, 2023
- Updated
- Aug 30, 2023
- SHA
- a34aa21e
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hftest-MHmae
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: 5.4422
- Accuracy: 0.156
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.97 | 19 | 6.0081 | 0.0026 |
| No log | 1.99 | 39 | 5.9817 | 0.0034 |
| No log | 2.96 | 58 | 5.9457 | 0.0084 |
| No log | 3.99 | 78 | 5.9030 | 0.0118 |
| No log | 4.96 | 97 | 5.8531 | 0.0204 |
| No log | 5.98 | 117 | 5.8012 | 0.0338 |
| No log | 6.95 | 136 | 5.7553 | 0.0458 |
| No log | 7.97 | 156 | 5.7005 | 0.0666 |
| No log | 9.0 | 176 | 5.6508 | 0.0842 |
| No log | 9.97 | 195 | 5.6129 | 0.1006 |
| No log | 10.99 | 215 | 5.5841 | 0.1108 |
| No log | 11.96 | 234 | 5.5503 | 0.1208 |
| No log | 12.98 | 254 | 5.5248 | 0.129 |
| No log | 13.96 | 273 | 5.5014 | 0.1372 |
| No log | 14.98 | 293 | 5.4761 | 0.1428 |
| No log | 16.0 | 313 | 5.4660 | 0.1484 |
| No log | 16.97 | 332 | 5.4574 | 0.1556 |
| No log | 17.99 | 352 | 5.4520 | 0.1546 |
| No log | 18.96 | 371 | 5.4458 | 0.1548 |
| No log | 19.42 | 380 | 5.4422 | 0.156 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0.dev20230627
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Aug 29, 2023
- Updated
- Aug 30, 2023