Model save

README.md

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+---
+license: mit
+base_model: google/vivit-b-16x2-kinetics400
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vivit-b-16x2-kinetics400-finetuned-my-dataset-6-epochs
+  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. -->
+
+# vivit-b-16x2-kinetics400-finetuned-my-dataset-6-epochs
+
+This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1102
+- Accuracy: 0.9896
+
+## 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: 2
+- eval_batch_size: 2
+- 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: 2574
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1371        | 0.17  | 430  | 0.7349          | 0.7789   |
+| 0.5346        | 1.17  | 860  | 0.2912          | 0.8895   |
+| 0.0004        | 2.17  | 1290 | 0.3184          | 0.9211   |
+| 0.0006        | 3.17  | 1720 | 0.3577          | 0.9368   |
+| 0.0382        | 4.17  | 2150 | 0.3491          | 0.9316   |
+| 0.0002        | 5.16  | 2574 | 0.3021          | 0.9421   |
+
+
+### Framework versions
+
+- Transformers 4.39.0
+- Pytorch 2.1.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2