End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: videomae-base-finetuned-cricket_shot_detection_18
+  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-cricket_shot_detection_18
+
+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: 1.4708
+- Accuracy: 0.5789
+- F1: 0.5987
+- Recall: 0.5789
+- Precision: 0.7316
+
+## 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: 6e-06
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 288
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 1.7521        | 0.1701 | 49   | 1.7640          | 0.1579   | 0.1971 | 0.1579 | 0.2632    |
+| 1.6025        | 1.1701 | 98   | 1.6926          | 0.2105   | 0.2205 | 0.2105 | 0.2782    |
+| 1.3708        | 2.1701 | 147  | 1.6164          | 0.3158   | 0.3062 | 0.3158 | 0.3544    |
+| 1.1786        | 3.1701 | 196  | 1.5217          | 0.4211   | 0.4042 | 0.4211 | 0.4158    |
+| 1.0709        | 4.1701 | 245  | 1.4708          | 0.5789   | 0.5987 | 0.5789 | 0.7316    |
+| 1.0057        | 5.1493 | 288  | 1.4721          | 0.5789   | 0.5982 | 0.5789 | 0.7246    |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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runs/Jan18_19-25-10_180d7438195c/events.out.tfevents.1737233616.180d7438195c.31.1

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