Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-baseline-2
+  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-kinetics-finetuned-right-hand-conflab-baseline-2
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4525
+- Accuracy: 0.5951
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 1170
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.7757        | 0.0504  | 59   | 1.7544          | 0.3398   |
+| 1.4807        | 1.0504  | 118  | 1.7067          | 0.3689   |
+| 1.4444        | 2.0504  | 177  | 1.4684          | 0.4320   |
+| 1.022         | 3.0504  | 236  | 1.4322          | 0.5388   |
+| 0.7796        | 4.0504  | 295  | 1.2440          | 0.5583   |
+| 0.5612        | 5.0504  | 354  | 1.3034          | 0.5680   |
+| 0.4722        | 6.0504  | 413  | 1.4143          | 0.5728   |
+| 0.3215        | 7.0504  | 472  | 1.3449          | 0.5825   |
+| 0.2223        | 8.0504  | 531  | 1.3282          | 0.6019   |
+| 0.1452        | 9.0504  | 590  | 1.4134          | 0.6068   |
+| 0.1771        | 10.0504 | 649  | 1.4489          | 0.6019   |
+| 0.0472        | 11.0504 | 708  | 1.5544          | 0.5922   |
+| 0.0384        | 12.0504 | 767  | 1.6467          | 0.5874   |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 1.12.0+cu116
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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+oid sha256:1c1aab253d3bf0cc1bd12a13d317ad934f37c8caa84111c1652030e078a098db
 size 344955792