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-ssbd-trim-yolo
+  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-ssbd-trim-yolo
+
+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: 1.3670
+- Accuracy: 0.7949
+
+## 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: 630
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.9077        | 0.0683  | 43   | 1.1114          | 0.5278   |
+| 1.0662        | 1.0683  | 86   | 1.4397          | 0.25     |
+| 0.7166        | 2.0683  | 129  | 1.1111          | 0.5556   |
+| 0.5385        | 3.0683  | 172  | 1.4677          | 0.6111   |
+| 0.5025        | 4.0683  | 215  | 1.3852          | 0.6667   |
+| 0.8695        | 5.0683  | 258  | 0.8738          | 0.8056   |
+| 0.5152        | 6.0683  | 301  | 1.6813          | 0.6944   |
+| 0.1175        | 7.0683  | 344  | 1.2260          | 0.8333   |
+| 0.5459        | 8.0683  | 387  | 1.5197          | 0.75     |
+| 0.0563        | 9.0683  | 430  | 1.8295          | 0.7222   |
+| 0.2366        | 10.0683 | 473  | 1.2773          | 0.7778   |
+| 0.0009        | 11.0683 | 516  | 1.4973          | 0.7778   |
+| 0.143         | 12.0683 | 559  | 1.5192          | 0.7778   |
+| 0.0016        | 13.0683 | 602  | 1.8634          | 0.7222   |
+| 0.0185        | 14.0444 | 630  | 1.8943          | 0.7222   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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runs/Apr24_19-09-46_e0d26c525230/events.out.tfevents.1713987155.e0d26c525230.685.1

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