Model save

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-sarco-aumentado
+  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-sarco-aumentado
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3437
+- Accuracy: 0.3958
+
+## 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: 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: 320
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.7603        | 0.1031 | 33   | 1.5047          | 0.5263   |
+| 0.0509        | 1.1031 | 66   | 2.6909          | 0.5263   |
+| 0.0422        | 2.1031 | 99   | 3.1231          | 0.5263   |
+| 0.0085        | 3.1031 | 132  | 3.3052          | 0.5263   |
+| 0.0016        | 4.1031 | 165  | 3.3200          | 0.5263   |
+| 0.0011        | 5.1031 | 198  | 3.3733          | 0.5263   |
+| 0.0008        | 6.1031 | 231  | 3.3552          | 0.5263   |
+| 0.0007        | 7.1031 | 264  | 3.3927          | 0.5263   |
+| 0.0007        | 8.1031 | 297  | 3.4122          | 0.5263   |
+| 0.0007        | 9.0719 | 320  | 3.4094          | 0.5263   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.0.1+cu117
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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