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_40
+  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_40
+
+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: 5.6806
+- Accuracy: 0.4753
+
+## 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
+- lr_scheduler_warmup_ratio: 0.2
+- training_steps: 52700
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6864        | 0.05  | 2635  | 3.6882          | 0.3937   |
+| 0.5651        | 1.05  | 5270  | 4.0977          | 0.4524   |
+| 0.4606        | 2.05  | 7905  | 4.5958          | 0.4149   |
+| 0.6425        | 3.05  | 10540 | 5.2244          | 0.4139   |
+| 0.7045        | 4.05  | 13175 | 4.6517          | 0.4482   |
+| 0.4105        | 5.05  | 15810 | 5.2383          | 0.4234   |
+| 0.4876        | 6.05  | 18445 | 5.2027          | 0.4252   |
+| 0.5886        | 7.05  | 21080 | 5.4343          | 0.3893   |
+| 0.2125        | 8.05  | 23715 | 5.8632          | 0.4322   |
+| 0.3111        | 9.05  | 26350 | 5.3468          | 0.4406   |
+| 0.3185        | 10.05 | 28985 | 5.5490          | 0.4500   |
+| 0.2399        | 11.05 | 31620 | 5.5484          | 0.4614   |
+| 0.201         | 12.05 | 34255 | 5.5056          | 0.4612   |
+| 0.1405        | 13.05 | 36890 | 5.6038          | 0.4612   |
+| 0.1989        | 14.05 | 39525 | 5.7589          | 0.4594   |
+| 0.1457        | 15.05 | 42160 | 5.8408          | 0.4644   |
+| 0.1133        | 16.05 | 44795 | 5.7189          | 0.4696   |
+| 0.0586        | 17.05 | 47430 | 5.6806          | 0.4753   |
+| 0.0339        | 18.05 | 50065 | 5.7528          | 0.4745   |
+| 0.0722        | 19.05 | 52700 | 5.7638          | 0.4751   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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