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-finetuned_39
+  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-finetuned_39
+
+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: 4.2762
+- Accuracy: 0.3457
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- training_steps: 54160
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.5558        | 0.05  | 2709  | 4.2762          | 0.3457   |
+| 0.5573        | 1.05  | 5418  | 5.4086          | 0.3340   |
+| 0.5828        | 2.05  | 8127  | 5.5041          | 0.3205   |
+| 0.5675        | 3.05  | 10836 | 6.0256          | 0.2988   |
+| 0.5578        | 4.05  | 13545 | 6.6278          | 0.3198   |
+| 0.3451        | 5.05  | 16254 | 6.5753          | 0.3027   |
+| 0.4555        | 6.05  | 18963 | 6.7402          | 0.3112   |
+| 0.5271        | 7.05  | 21672 | 7.1148          | 0.3037   |
+| 0.3353        | 8.05  | 24381 | 6.9036          | 0.3254   |
+| 0.3414        | 9.05  | 27090 | 6.6694          | 0.3281   |
+| 0.3493        | 10.05 | 29799 | 6.8241          | 0.3345   |
+| 0.2228        | 11.05 | 32508 | 7.3151          | 0.3240   |
+| 0.0894        | 12.05 | 35217 | 7.5526          | 0.3269   |
+| 0.2138        | 13.05 | 37926 | 7.0634          | 0.3276   |
+| 0.295         | 14.05 | 40635 | 6.9772          | 0.3323   |
+| 0.1493        | 15.05 | 43344 | 7.3242          | 0.3340   |
+| 0.1968        | 16.05 | 46053 | 7.3585          | 0.3359   |
+| 0.151         | 17.05 | 48762 | 7.4257          | 0.3413   |
+| 0.0955        | 18.05 | 51471 | 7.5148          | 0.3386   |
+| 0.0552        | 19.05 | 54160 | 7.4669          | 0.3401   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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