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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: hftest-MHmae
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# hftest-MHmae
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.4422
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- Accuracy: 0.156
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.97 | 19 | 6.0081 | 0.0026 |
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| No log | 1.99 | 39 | 5.9817 | 0.0034 |
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| No log | 2.96 | 58 | 5.9457 | 0.0084 |
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| No log | 3.99 | 78 | 5.9030 | 0.0118 |
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| No log | 4.96 | 97 | 5.8531 | 0.0204 |
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| No log | 5.98 | 117 | 5.8012 | 0.0338 |
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| No log | 6.95 | 136 | 5.7553 | 0.0458 |
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| No log | 7.97 | 156 | 5.7005 | 0.0666 |
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| No log | 9.0 | 176 | 5.6508 | 0.0842 |
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| No log | 9.97 | 195 | 5.6129 | 0.1006 |
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| No log | 10.99 | 215 | 5.5841 | 0.1108 |
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| No log | 11.96 | 234 | 5.5503 | 0.1208 |
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| No log | 12.98 | 254 | 5.5248 | 0.129 |
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| No log | 13.96 | 273 | 5.5014 | 0.1372 |
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| No log | 14.98 | 293 | 5.4761 | 0.1428 |
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| No log | 16.0 | 313 | 5.4660 | 0.1484 |
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| No log | 16.97 | 332 | 5.4574 | 0.1556 |
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| No log | 17.99 | 352 | 5.4520 | 0.1546 |
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| No log | 18.96 | 371 | 5.4458 | 0.1548 |
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| No log | 19.42 | 380 | 5.4422 | 0.156 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.1.0.dev20230627
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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