Model save

README.md

@@ -0,0 +1,66 @@
+---
+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-rwf2000-subset___v1
+  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-rwf2000-subset___v1
+
+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: 0.4808
+- Accuracy: 0.775
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5205        | 0.2   | 100  | 0.5434          | 0.6837   |
+| 0.4084        | 1.2   | 200  | 0.5905          | 0.655    |
+| 0.4198        | 2.2   | 300  | 0.4814          | 0.7462   |
+| 0.3188        | 3.2   | 400  | 0.5160          | 0.755    |
+| 0.2687        | 4.2   | 500  | 0.4808          | 0.775    |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 1.13.1+cu117
+- Datasets 3.1.0
+- Tokenizers 0.20.3