End of training

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-scratch_1
+  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-scratch_1
+
+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: 1.3906
+- Accuracy: 0.8080
+
+## 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: 12
+- eval_batch_size: 12
+- 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: 11856
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6811        | 0.03  | 330   | 0.6314          | 0.6547   |
+| 0.6706        | 1.03  | 660   | 0.6354          | 0.6318   |
+| 0.6581        | 2.03  | 990   | 0.6328          | 0.6375   |
+| 0.5614        | 3.03  | 1320  | 0.5507          | 0.7135   |
+| 0.438         | 4.03  | 1650  | 0.5440          | 0.7264   |
+| 0.4569        | 5.03  | 1980  | 0.5532          | 0.7278   |
+| 0.3614        | 6.03  | 2310  | 0.5283          | 0.7364   |
+| 0.3514        | 7.03  | 2640  | 0.6700          | 0.7407   |
+| 0.2796        | 8.03  | 2970  | 0.7974          | 0.7178   |
+| 0.236         | 9.03  | 3300  | 0.6851          | 0.7722   |
+| 0.2066        | 10.03 | 3630  | 0.7625          | 0.7708   |
+| 0.2831        | 11.03 | 3960  | 0.7963          | 0.7708   |
+| 0.1903        | 12.03 | 4290  | 1.0343          | 0.7722   |
+| 0.1169        | 13.03 | 4620  | 0.8528          | 0.7865   |
+| 0.3502        | 14.03 | 4950  | 0.9265          | 0.7966   |
+| 0.1728        | 15.03 | 5280  | 0.8522          | 0.8209   |
+| 0.0542        | 16.03 | 5610  | 1.0107          | 0.8052   |
+| 0.0711        | 17.03 | 5940  | 0.9795          | 0.8080   |
+| 0.0287        | 18.03 | 6270  | 1.1471          | 0.8095   |
+| 0.1011        | 19.03 | 6600  | 1.0894          | 0.7851   |
+| 0.0424        | 20.03 | 6930  | 1.1444          | 0.7822   |
+| 0.0229        | 21.03 | 7260  | 1.3766          | 0.7822   |
+| 0.058         | 22.03 | 7590  | 1.2796          | 0.7894   |
+| 0.1045        | 23.03 | 7920  | 1.3585          | 0.7751   |
+| 0.0379        | 24.03 | 8250  | 1.3156          | 0.7837   |
+| 0.0945        | 25.03 | 8580  | 1.3047          | 0.7923   |
+| 0.0528        | 26.03 | 8910  | 1.3670          | 0.7894   |
+| 0.0002        | 27.03 | 9240  | 1.3398          | 0.7966   |
+| 0.0562        | 28.03 | 9570  | 1.3444          | 0.7980   |
+| 0.0002        | 29.03 | 9900  | 1.2679          | 0.8166   |
+| 0.0018        | 30.03 | 10230 | 1.3748          | 0.7966   |
+| 0.0371        | 31.03 | 10560 | 1.4094          | 0.8080   |
+| 0.0157        | 32.03 | 10890 | 1.4391          | 0.8023   |
+| 0.0001        | 33.03 | 11220 | 1.3831          | 0.8052   |
+| 0.0001        | 34.03 | 11550 | 1.3971          | 0.8080   |
+| 0.0041        | 35.03 | 11856 | 1.3906          | 0.8080   |
+
+
+### Framework versions
+
+- Transformers 4.39.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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