Model save

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: 0.2670
+- Accuracy: 0.9226
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 600
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4636        | 0.25  | 150  | 0.9626          | 0.7286   |
+| 1.3288        | 1.25  | 300  | 0.6002          | 0.8      |
+| 0.1638        | 2.25  | 450  | 0.4426          | 0.8143   |
+| 0.3692        | 3.25  | 600  | 0.2339          | 0.9143   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 1.13.0+cu117
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Nov13_16-08-32_7962c58782d6/events.out.tfevents.1731515145.7962c58782d6.7824.2

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