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_default_fold__0__10_epoch_Aug_batch_2_4_LSA64
+  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_default_fold__0__10_epoch_Aug_batch_2_4_LSA64
+
+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: 0.1243
+- Accuracy: 0.9691
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- 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: 2880
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 15.5442       | 0.1   | 288  | 3.5056          | 0.0811   |
+| 7.6719        | 1.1   | 576  | 1.0166          | 0.8031   |
+| 1.737         | 2.1   | 864  | 0.4851          | 0.8803   |
+| 0.6836        | 3.1   | 1152 | 0.2845          | 0.9305   |
+| 0.4155        | 4.1   | 1440 | 0.1982          | 0.9498   |
+| 0.3           | 5.1   | 1728 | 0.1895          | 0.9614   |
+| 0.201         | 6.1   | 2016 | 0.1338          | 0.9575   |
+| 0.1054        | 7.1   | 2304 | 0.1466          | 0.9614   |
+| 0.0754        | 8.1   | 2592 | 0.1271          | 0.9730   |
+| 0.1212        | 9.1   | 2880 | 0.1243          | 0.9691   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.1

model.safetensors

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