Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-finetuned-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. -->
+
+# videomae-base-finetuned-kinetics-finetuned-ucf101-subset
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2309
+- Accuracy: 0.9806
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 148
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2587        | 0.13  | 19   | 1.2644          | 1.0      |
+| 0.6711        | 1.13  | 38   | 0.2098          | 1.0      |
+| 0.1355        | 2.13  | 57   | 0.0465          | 1.0      |
+| 0.0295        | 3.13  | 76   | 0.0431          | 0.9857   |
+| 0.0155        | 4.13  | 95   | 0.0226          | 1.0      |
+| 0.0175        | 5.13  | 114  | 0.0178          | 1.0      |
+| 0.0168        | 6.13  | 133  | 0.0180          | 1.0      |
+| 0.008         | 7.1   | 148  | 0.0184          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.11.0
+- Tokenizers 0.15.1

emissions.csv

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runs/Feb07_22-04-54_soet-gpu/events.out.tfevents.1707328076.soet-gpu.433028.1

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