Model save

README.md

@@ -0,0 +1,64 @@
+---
+license: mit
+base_model: google/vivit-b-16x2-kinetics400
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vivit-b-16x2-kinetics400-ft-9811
+  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-ft-9811
+
+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: 0.9429
+- Accuracy: 0.5767
+
+## 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: 440
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.0942        | 0.2523 | 111  | 1.1040          | 0.4392   |
+| 1.0041        | 1.2523 | 222  | 0.9264          | 0.5608   |
+| 0.9804        | 2.2523 | 333  | 0.8831          | 0.5979   |
+| 0.79          | 3.2432 | 440  | 0.8656          | 0.6085   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 1.13.0+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1