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-judo
+  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-judo
+
+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: 0.9544
+- Accuracy: 0.6216
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.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: 780
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.1454        | 0.1013 | 79   | 1.1138          | 0.4324   |
+| 0.9601        | 1.1013 | 158  | 1.2666          | 0.3514   |
+| 0.7864        | 2.1013 | 237  | 1.1963          | 0.4054   |
+| 1.0221        | 3.1013 | 316  | 1.1635          | 0.3514   |
+| 0.8762        | 4.1013 | 395  | 1.0229          | 0.4595   |
+| 0.9761        | 5.1013 | 474  | 0.9012          | 0.5676   |
+| 0.6493        | 6.1013 | 553  | 1.0638          | 0.6486   |
+| 0.7152        | 7.1013 | 632  | 1.0122          | 0.6216   |
+| 0.3646        | 8.1013 | 711  | 0.8835          | 0.6216   |
+| 0.2113        | 9.0885 | 780  | 0.9544          | 0.6216   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

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