Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-crema-d8
+  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-crema-d8
+
+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: 0.7377
+- Accuracy: 0.7644
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 5952
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3492        | 0.13  | 745  | 1.3353          | 0.5127   |
+| 0.9541        | 1.13  | 1490 | 0.9004          | 0.6849   |
+| 0.7073        | 2.13  | 2235 | 0.7946          | 0.7236   |
+| 0.8417        | 3.13  | 2980 | 0.8516          | 0.6876   |
+| 0.3899        | 4.13  | 3725 | 0.7319          | 0.7450   |
+| 0.3669        | 5.13  | 4470 | 0.7200          | 0.7490   |
+| 0.5429        | 6.13  | 5215 | 0.6304          | 0.7864   |
+| 0.2831        | 7.12  | 5952 | 0.6373          | 0.7931   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2