Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-finetuned
+  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-finetuned
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1289
+- Accuracy: 0.9706
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- training_steps: 8620
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7657        | 0.05  | 432  | 0.6104          | 0.8243   |
+| 0.4011        | 1.05  | 864  | 0.4283          | 0.8896   |
+| 0.301         | 2.05  | 1296 | 0.3957          | 0.8833   |
+| 0.2967        | 3.05  | 1728 | 0.3066          | 0.9138   |
+| 0.229         | 4.05  | 2160 | 0.3268          | 0.9092   |
+| 0.2185        | 5.05  | 2592 | 0.2865          | 0.9281   |
+| 0.1863        | 6.05  | 3024 | 0.2550          | 0.9320   |
+| 0.1386        | 7.05  | 3456 | 0.2366          | 0.9422   |
+| 0.1542        | 8.05  | 3888 | 0.2162          | 0.9449   |
+| 0.1396        | 9.05  | 4320 | 0.2069          | 0.9424   |
+| 0.1323        | 10.05 | 4752 | 0.2021          | 0.9486   |
+| 0.1008        | 11.05 | 5184 | 0.2408          | 0.9465   |
+| 0.0756        | 12.05 | 5616 | 0.2023          | 0.9509   |
+| 0.0628        | 13.05 | 6048 | 0.1730          | 0.9609   |
+| 0.0747        | 14.05 | 6480 | 0.1747          | 0.9622   |
+| 0.047         | 15.05 | 6912 | 0.1698          | 0.9629   |
+| 0.0586        | 16.05 | 7344 | 0.1412          | 0.9668   |
+| 0.0644        | 17.05 | 7776 | 0.1314          | 0.9704   |
+| 0.0521        | 18.05 | 8208 | 0.1343          | 0.9688   |
+| 0.0516        | 19.05 | 8620 | 0.1289          | 0.9706   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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runs/Aug07_11-29-30_WIN-645TP8FEMLV/events.out.tfevents.1722997773.WIN-645TP8FEMLV.12352.0

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