Model save

README.md

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+---
+base_model: Tommidi/st_vit_untrained
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: st_vit_trained-8epoch-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. -->
+
+# st_vit_trained-8epoch-ucf101-subset
+
+This model is a fine-tuned version of [Tommidi/st_vit_untrained](https://huggingface.co/Tommidi/st_vit_untrained) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0530
+- Accuracy: 0.9667
+
+## 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: 296
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6314        | 0.13  | 38   | 0.1264          | 0.9333   |
+| 0.3547        | 1.13  | 76   | 0.0077          | 1.0      |
+| 0.0189        | 2.13  | 114  | 0.5103          | 0.9333   |
+| 0.0611        | 3.13  | 152  | 0.1508          | 0.9333   |
+| 0.0027        | 4.13  | 190  | 0.0018          | 1.0      |
+| 0.0812        | 5.13  | 228  | 0.0943          | 0.9333   |
+| 0.0005        | 6.13  | 266  | 0.0635          | 0.9667   |
+| 0.3035        | 7.1   | 296  | 0.0530          | 0.9667   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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