Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-large-cctv-brawl_extended_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-large-cctv-brawl_extended_v1
+
+This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4430
+- Accuracy: 0.8252
+
+## 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: 3e-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- 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: 12565
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4193        | 0.2   | 2514  | 0.4839          | 0.6985   |
+| 0.3542        | 1.2   | 5028  | 0.4445          | 0.7593   |
+| 0.2673        | 2.2   | 7542  | 0.4344          | 0.7993   |
+| 0.3185        | 3.2   | 10056 | 0.4328          | 0.8201   |
+| 0.4006        | 4.2   | 12565 | 0.4430          | 0.8252   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1