End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly
+  results: []
+---
+
+<!-- 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. -->
+
+# vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly
+
+This model is a fine-tuned version of [prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime](https://huggingface.co/prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6304
+- Accuracy: 0.0962
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 202
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.5324        | 0.5050 | 102  | 2.6516          | 0.0739   |
+| 2.4308        | 1.4950 | 202  | 2.6304          | 0.0962   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.1.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0