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End of training
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README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/timesformer-base-finetuned-k400
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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: vivit-videomae-d1
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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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# vivit-videomae-d1
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7181
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- Accuracy: 0.7829
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 12010
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- mixed_precision_training: Native AMP
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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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| 0.4829 | 0.1 | 1201 | 2.2415 | 0.6216 |
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| 0.2241 | 1.1 | 2402 | 1.7867 | 0.7155 |
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| 0.4836 | 2.1 | 3603 | 1.7255 | 0.7142 |
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| 0.0001 | 3.1 | 4804 | 1.7792 | 0.7604 |
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| 0.001 | 4.1 | 6005 | 1.8104 | 0.7163 |
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| 0.0001 | 5.1 | 7206 | 1.5018 | 0.7600 |
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| 0.0008 | 6.1 | 8407 | 1.8564 | 0.7788 |
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| 0.6079 | 7.1 | 9608 | 1.5529 | 0.7644 |
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| 0.9314 | 8.1 | 10809 | 1.7200 | 0.7820 |
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| 0.392 | 9.1 | 12010 | 1.7181 | 0.7829 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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