End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle
+  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-kinetics-finetuned-data-no-yolo-kaggle
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4866
+- Accuracy: 0.9046
+
+## 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: 9e-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: 4125
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2716        | 0.09  | 376  | 0.6657          | 0.8147   |
+| 0.2248        | 1.09  | 752  | 0.5673          | 0.8065   |
+| 0.0106        | 2.09  | 1128 | 0.4900          | 0.8529   |
+| 0.0548        | 3.09  | 1504 | 0.5760          | 0.8719   |
+| 0.0203        | 4.09  | 1880 | 0.8674          | 0.8311   |
+| 0.0008        | 5.09  | 2256 | 0.5422          | 0.8692   |
+| 0.0004        | 6.09  | 2632 | 0.4938          | 0.8965   |
+| 0.0021        | 7.09  | 3008 | 0.7053          | 0.8583   |
+| 0.0002        | 8.09  | 3384 | 0.5675          | 0.8747   |
+| 0.0003        | 9.09  | 3760 | 0.4930          | 0.9046   |
+| 0.0003        | 10.09 | 4125 | 0.4866          | 0.9046   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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