Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k400
+tags:
+- generated_from_trainer
+model-index:
+- name: anomaly-detection-flow
+  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. -->
+
+# anomaly-detection-flow
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.6828
+- Auc: 0.6963
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0734        | 1.0   | 805  | 0.8667          | 0.5397 |
+| 0.7801        | 2.0   | 1610 | 0.6828          | 0.6963 |
+| 0.7527        | 3.0   | 2415 | 1.0352          | 0.7117 |
+| 0.6998        | 4.0   | 3220 | 1.0508          | 0.7091 |
+| 0.5515        | 5.0   | 4025 | 1.6155          | 0.6930 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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