update model card README.md

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: assist_vc
+  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. -->
+
+# assist_vc
+
+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: 0.9840
+- Accuracy: 0.6842
+
+## 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: 1
+- eval_batch_size: 1
+- 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: 160
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.7497        | 0.1   | 16   | 1.6563          | 0.1316   |
+| 1.7873        | 1.1   | 32   | 1.3495          | 0.6842   |
+| 0.7577        | 2.1   | 48   | 1.5793          | 0.5526   |
+| 1.6926        | 3.1   | 64   | 1.7424          | 0.5526   |
+| 1.9555        | 4.1   | 80   | 1.3199          | 0.5263   |
+| 1.3076        | 5.1   | 96   | 1.5087          | 0.6842   |
+| 2.4857        | 6.1   | 112  | 1.3040          | 0.6842   |
+| 0.8124        | 7.1   | 128  | 1.0371          | 0.6842   |
+| 2.0312        | 8.1   | 144  | 1.0630          | 0.6842   |
+| 1.1519        | 9.1   | 160  | 0.9840          | 0.6842   |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.13.2