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
+- f1
+- precision
+model-index:
+- name: videomae_v1_rwf-2000
+  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_v1_rwf-2000
+
+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: 0.4333
+- Accuracy: 0.875
+- F1: 0.8748
+- Precision: 0.8771
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 18
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 2024
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|
+| 1.4589        | 0.0415 | 84   | 1.4350          | 0.7      | 0.6992 | 0.7020    |
+| 0.7575        | 1.0417 | 169  | 0.8168          | 0.7812   | 0.7738 | 0.8238    |
+| 0.6272        | 2.0418 | 254  | 0.5022          | 0.875    | 0.8740 | 0.8868    |
+| 0.4146        | 3.0415 | 338  | 0.4904          | 0.8688   | 0.8686 | 0.8702    |
+| 0.2696        | 4.0417 | 423  | 0.4742          | 0.85     | 0.85   | 0.85      |
+| 0.3349        | 5.0418 | 508  | 0.4333          | 0.875    | 0.8748 | 0.8771    |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Aug07_16-35-14_cd7a49e78d48/events.out.tfevents.1723048515.cd7a49e78d48.382.2

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