End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-large
+tags:
+- generated_from_trainer
+model-index:
+- name: videomae-large_Sports_action_recognition
+  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-large_Sports_action_recognition
+
+This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0027
+- eval_confusion_matrix: {'confusion_matrix': array([[24,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0],
+       [ 0, 40,  0,  0,  0,  0,  0,  0,  0,  0,  0],
+       [ 0,  0, 28,  0,  0,  0,  0,  0,  0,  0,  0],
+       [ 0,  0,  0, 37,  0,  0,  0,  0,  0,  0,  0],
+       [ 0,  0,  0,  0, 43,  0,  0,  0,  0,  0,  0],
+       [ 0,  0,  0,  0,  0, 72,  0,  0,  0,  0,  0],
+       [ 0,  0,  0,  0,  0,  0, 28,  0,  0,  0,  0],
+       [ 0,  0,  0,  0,  0,  0,  0, 33,  0,  0,  0],
+       [ 0,  0,  0,  0,  0,  0,  0,  0, 26,  0,  0],
+       [ 0,  0,  0,  0,  0,  0,  0,  0,  0, 15,  0],
+       [ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 36]])}
+- eval_runtime: 127.0184
+- eval_samples_per_second: 3.007
+- eval_steps_per_second: 1.504
+- step: 0
+
+## 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: 0.1
+- training_steps: 17150
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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