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-groub29-30-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-groub29-30-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: 2.8812
+- Accuracy: 0.1111
+
+## 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: 48
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.15  | 7    | 3.2525          | 0.0741   |
+| 3.4041        | 1.15  | 14   | 3.1928          | 0.0741   |
+| 3.3195        | 2.15  | 21   | 3.0810          | 0.1111   |
+| 3.3195        | 3.15  | 28   | 3.0070          | 0.1111   |
+| 3.1425        | 4.15  | 35   | 2.9406          | 0.1481   |
+| 2.9592        | 5.15  | 42   | 2.8942          | 0.1481   |
+| 2.9592        | 6.12  | 48   | 2.8812          | 0.1111   |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0+cpu
+- Datasets 2.1.0
+- Tokenizers 0.13.3

pytorch_model.bin

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