Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-dd
+  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-dd
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4577
+- Accuracy: 0.8909
+
+## 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: 0.1
+- training_steps: 1352
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.5777        | 0.2485 | 336  | 0.8214          | 0.8373   |
+| 1.144         | 1.2493 | 673  | 0.4453          | 0.8754   |
+| 0.2783        | 2.2493 | 1010 | 0.8930          | 0.8171   |
+| 0.0037        | 3.2470 | 1344 | 0.4077          | 0.8979   |
+| 0.2113        | 4.0059 | 1352 | 0.4079          | 0.8979   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 1.12.0+cu113
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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