Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-ElderReact-Fear11
+  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-ElderReact-Fear11
+
+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: 0.3036
+- Accuracy: 0.908
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 380
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4132        | 0.1   | 39   | 0.2544          | 0.9309   |
+| 0.4058        | 1.1   | 78   | 0.2650          | 0.9309   |
+| 0.351         | 2.1   | 117  | 0.3078          | 0.9309   |
+| 0.399         | 3.1   | 156  | 0.2530          | 0.9309   |
+| 0.3695        | 4.1   | 195  | 0.2489          | 0.9309   |
+| 0.3783        | 5.1   | 234  | 0.2386          | 0.9309   |
+| 0.3474        | 6.1   | 273  | 0.2566          | 0.9284   |
+| 0.3682        | 7.1   | 312  | 0.2381          | 0.9309   |
+| 0.2805        | 8.1   | 351  | 0.2404          | 0.9296   |
+| 0.3692        | 9.08  | 380  | 0.2461          | 0.9284   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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