End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: abduldattijo/videomae-base-finetuned-ucf101-subset
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-ucf101-subset-V4KILLER
+  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. -->
+
+# videomae-base-finetuned-ucf101-subset-V4KILLER
+
+This model is a fine-tuned version of [abduldattijo/videomae-base-finetuned-ucf101-subset](https://huggingface.co/abduldattijo/videomae-base-finetuned-ucf101-subset) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2156
+- Accuracy: 0.9390
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 1010
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5038        | 0.1   | 102  | 0.3170          | 0.8885   |
+| 0.4437        | 1.1   | 204  | 0.2099          | 0.9207   |
+| 0.4716        | 2.1   | 306  | 0.1865          | 0.9316   |
+| 0.4066        | 3.1   | 408  | 0.2122          | 0.9171   |
+| 0.193         | 4.1   | 510  | 0.3358          | 0.8943   |
+| 0.1657        | 5.1   | 612  | 0.2676          | 0.9232   |
+| 0.1507        | 6.1   | 714  | 0.2100          | 0.9282   |
+| 0.3165        | 7.1   | 816  | 0.1699          | 0.9535   |
+| 0.0733        | 8.1   | 918  | 0.3537          | 0.9280   |
+| 0.0851        | 9.09  | 1010 | 0.3110          | 0.9349   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Nov18_01-29-36_DESKTOP-T6E146I/events.out.tfevents.1700270656.DESKTOP-T6E146I.75104.3

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