End of training

README.md

@@ -0,0 +1,83 @@
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-large
+tags:
+- generated_from_trainer
+model-index:
+- name: videomae-large_14class_UCFCrime
+  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_14class_UCFCrime
+
+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: 2.1336
+- eval_confusion_matrix: {'confusion_matrix': array([[  5,   6,   0,  11,   5,   1,  17,   1,   0,   0,   0,   6,   0,
+          0],
+       [ 25,  76,   0,   9,  53,   0,  36,   1,  24,   1,   0,  13,   5,
+          0],
+       [  0,   0,  31,   0,   2,   0,   0,   0,   0,   0,   0,   0,   9,
+          7],
+       [ 11,  21,   0,  52,   3,   0,  40,   2,   1,   1,   0,   0,  19,
+          1],
+       [ 21,   9,   0,   1, 113,   0,  21,   2,   0,  30,   0,   1,  12,
+         43],
+       [  1,   2,  13,   0,   0,  39,   1,   0,   0,   1,   0,   0,  12,
+          1],
+       [  3,  15,   1,  23,   8,   0,  58,   0,   0,   6,   0,  23,   1,
+          4],
+       [  0,   0,   0,   0,   0,   0,   0, 430,   0,   0,   0,   0,   0,
+          0],
+       [  3,  11,   1,   2,   1,   2,   3,   0,  25,   3,   0,   4,   7,
+          0],
+       [  0,  19,   0,   9,  17,   0,  18,  57,   0,  22,   0,  56,   0,
+          0],
+       [  0,  11,   0,   6,   9,   0,   3,   3,   2,   0,   5,   3,  24,
+          0],
+       [  0,   5,   0,   0,   0,   0,   5,  11,   0,   9,   0,  40,   0,
+          0],
+       [  0,  40,   2,  19,   9,   0,   9,  44,   3,   0,   1,  30, 120,
+         11],
+       [  0,   4,   1,  12,   2,   1,   0,   0,   0,   7,   0,  11,   6,
+         68]])}
+- eval_runtime: 888.8746
+- eval_samples_per_second: 2.459
+- eval_steps_per_second: 1.23
+- 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: 5560
+
+### 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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