Model save

README.md

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+---
+base_model: hf-tiny-model-private/tiny-random-VideoMAEModel
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: VideoMAE-tiny-finetuned-ucf101-subset
+  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-tiny-finetuned-ucf101-subset
+
+This model is a fine-tuned version of [hf-tiny-model-private/tiny-random-VideoMAEModel](https://huggingface.co/hf-tiny-model-private/tiny-random-VideoMAEModel) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2723
+- Accuracy: 0.1455
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 148
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.3099        | 0.26  | 38   | 2.2978          | 0.0893   |
+| 2.3305        | 1.26  | 76   | 2.2971          | 0.0893   |
+| 2.2972        | 2.26  | 114  | 2.2965          | 0.0893   |
+| 2.3006        | 3.23  | 148  | 2.2967          | 0.0893   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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