Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: minhah/videomae-base-finetuned-crema-d8
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-crema-d8-finetuned-elder-creama-d-pretuned
+  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-finetuned-elder-creama-d-pretuned
+
+This model is a fine-tuned version of [minhah/videomae-base-finetuned-crema-d8](https://huggingface.co/minhah/videomae-base-finetuned-crema-d8) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6702
+- Accuracy: 0.3389
+
+## 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: 1440
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6909        | 0.1   | 145  | 1.6484          | 0.3352   |
+| 1.5944        | 1.1   | 290  | 1.6735          | 0.2798   |
+| 1.5776        | 2.1   | 435  | 1.6654          | 0.3212   |
+| 1.6768        | 3.1   | 580  | 1.7330          | 0.1858   |
+| 1.6108        | 4.1   | 725  | 1.6919          | 0.2504   |
+| 1.5103        | 5.1   | 870  | 1.6524          | 0.2805   |
+| 1.5447        | 6.1   | 1015 | 1.6767          | 0.3086   |
+| 1.5237        | 7.1   | 1160 | 1.7329          | 0.2553   |
+| 1.4397        | 8.1   | 1305 | 1.7293          | 0.2475   |
+| 1.4544        | 9.09  | 1440 | 1.7368          | 0.2518   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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