Model save

README.md

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----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: videomae-base-finetuned-numbers-augmented
+  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-numbers-augmented
+
+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: 0.1494
+- Accuracy: 0.9559
+- F1: 0.9562
+- Precision: 0.9568
+- Recall: 0.9565
+
+## 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: 2816
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.8968        | 0.25  | 704  | 0.8689          | 0.6878   | 0.6885 | 0.7423    | 0.6886 |
+| 0.5002        | 1.25  | 1408 | 0.4374          | 0.8542   | 0.8531 | 0.8718    | 0.8535 |
+| 0.3627        | 2.25  | 2112 | 0.1109          | 0.9623   | 0.9618 | 0.9647    | 0.9614 |
+| 0.0289        | 3.25  | 2816 | 0.0374          | 0.9880   | 0.9880 | 0.9881    | 0.9880 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

runs/Apr30_22-59-34_blackhorse/events.out.tfevents.1714517431.blackhorse.5540.3

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