End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-ucf101-subset
+  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
+
+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: 0.0794
+- Accuracy: 0.9714
+
+## 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: 6
+- eval_batch_size: 6
+- 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: 600
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 2.1779        | 0.0833  | 50   | 2.0389          | 0.2714   |
+| 0.9209        | 1.0833  | 100  | 0.9262          | 0.6857   |
+| 0.5527        | 2.0833  | 150  | 0.3633          | 0.9143   |
+| 0.2367        | 3.0833  | 200  | 0.4540          | 0.8857   |
+| 0.4635        | 4.0833  | 250  | 0.2192          | 0.9429   |
+| 0.097         | 5.0833  | 300  | 0.2792          | 0.8714   |
+| 0.0128        | 6.0833  | 350  | 0.1230          | 0.9571   |
+| 0.0346        | 7.0833  | 400  | 0.0637          | 0.9714   |
+| 0.005         | 8.0833  | 450  | 0.0655          | 0.9714   |
+| 0.0045        | 9.0833  | 500  | 0.0876          | 0.9714   |
+| 0.004         | 10.0833 | 550  | 0.0904          | 0.9714   |
+| 0.0041        | 11.0833 | 600  | 0.0794          | 0.9714   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 1.13.1+cu117
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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