update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-large-finetuned-kinetics-mopping
+  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-large-finetuned-kinetics-mopping
+
+This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4468
+- Accuracy: 0.7368
+
+## 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: 1672
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6868        | 0.25  | 418  | 0.7474          | 0.2115   |
+| 0.7265        | 1.25  | 836  | 0.6472          | 0.6026   |
+| 0.6854        | 2.25  | 1254 | 0.6211          | 0.6346   |
+| 0.7829        | 3.25  | 1672 | 0.5959          | 0.7115   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.0+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3