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End of training
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README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-large
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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: videomae-large-finetuned-ucf101-subset
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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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# videomae-large-finetuned-ucf101-subset
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9542
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- Accuracy: 0.6105
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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: 2
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- eval_batch_size: 2
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- seed: 42
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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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- training_steps: 766
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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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| 1.4296 | 0.34 | 260 | 1.1089 | 0.6105 |
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| 1.1275 | 1.18 | 520 | 0.9542 | 0.6105 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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runs/May21_02-09-00_f80a975096fa/events.out.tfevents.1716257341.f80a975096fa.230.0
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