Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+model-index:
+- name: videomae-surf-analytics-runpod7
+  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-surf-analytics-runpod7
+
+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:
+- eval_loss: 0.5278
+- eval_accuracy: 0.9180
+- eval_f1: 0.9179
+- eval_runtime: 72.002
+- eval_samples_per_second: 1.694
+- eval_steps_per_second: 0.222
+- epoch: 5.0024
+- step: 8857
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 9200
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "eval_accuracy": 0.9180327868852459,
+    "eval_f1": 0.9178693897416935,
+    "eval_loss": 0.5277689099311829
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:29350082cd14c0121d3225bc1679f39e383d0195cb49715438326912ea14e582
+oid sha256:8a6b66ecc0f32fd97a4c05339d3dcd26e5047251c0c3e718613fbd6e846d6dfb
 size 344943528

test_results.json

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+{
+    "eval_accuracy": 0.8777292576419214,
+    "eval_f1": 0.8759548256004502,
+    "eval_loss": 0.9210804104804993
+}

val_results.json

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+{
+    "eval_accuracy": 0.9180327868852459,
+    "eval_f1": 0.9178693897416935,
+    "eval_loss": 0.5277689099311829
+}