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-groub13-14-finetuned-SLT-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-groub13-14-finetuned-SLT-subset
+
+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: 3.2580
+- Accuracy: 0.5
+
+## 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: 4
+- eval_batch_size: 4
+- 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: 80
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.8748        | 0.12  | 10   | 3.6846          | 0.05     |
+| 3.7799        | 1.12  | 20   | 3.6477          | 0.025    |
+| 3.7271        | 2.12  | 30   | 3.6026          | 0.075    |
+| 3.6374        | 3.12  | 40   | 3.5275          | 0.125    |
+| 3.5356        | 4.12  | 50   | 3.4335          | 0.2      |
+| 3.4315        | 5.12  | 60   | 3.3521          | 0.35     |
+| 3.3418        | 6.12  | 70   | 3.2853          | 0.375    |
+| 3.254         | 7.12  | 80   | 3.2580          | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0+cpu
+- Datasets 2.1.0
+- Tokenizers 0.13.3