Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-diving48-finetuned
+  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-diving48-finetuned
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3810
+- Accuracy: 0.0788
+- Top5 Accuracy: 0.3677
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 15965
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Top5 Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------------:|
+| 3.7503        | 0.2   | 3193  | 3.6511          | 0.0471   | 0.2444        |
+| 3.5645        | 1.2   | 6386  | 3.5746          | 0.0672   | 0.2826        |
+| 3.7438        | 2.2   | 9579  | 3.5204          | 0.0834   | 0.3457        |
+| 3.4429        | 3.2   | 12772 | 3.4543          | 0.0797   | 0.3387        |
+| 3.5896        | 4.2   | 15965 | 3.3810          | 0.0788   | 0.3677        |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.1.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

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