Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k400
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_spatial_only
+  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. -->
+
+# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_spatial_only
+
+This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5369
+- Accuracy: 0.8235
+
+## 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: 1
+- eval_batch_size: 1
+- 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: 300
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7735        | 0.17  | 50   | 0.7762          | 0.7222   |
+| 0.1355        | 1.17  | 100  | 0.4256          | 0.8611   |
+| 0.0014        | 2.17  | 150  | 0.5817          | 0.8194   |
+| 0.001         | 3.17  | 200  | 0.4201          | 0.8611   |
+| 0.0013        | 4.17  | 250  | 0.3844          | 0.8472   |
+| 0.0007        | 5.17  | 300  | 0.3681          | 0.8611   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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