Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N
+  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-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N
+
+This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3578
+- Accuracy: 0.8387
+
+## 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: 4
+- eval_batch_size: 4
+- 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: 77
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9326        | 0.16  | 12   | 0.6945          | 0.6316   |
+| 0.5856        | 1.16  | 24   | 0.5931          | 0.5789   |
+| 0.3968        | 2.16  | 36   | 0.4350          | 0.7368   |
+| 0.362         | 3.16  | 48   | 0.6303          | 0.7105   |
+| 0.1438        | 4.16  | 60   | 0.7715          | 0.6842   |
+| 0.0632        | 5.16  | 72   | 0.8964          | 0.6579   |
+| 0.0632        | 6.06  | 77   | 0.9021          | 0.6842   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Nov21_12-12-28_3cf182e0e4ee/events.out.tfevents.1700568986.3cf182e0e4ee.6343.2

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