End of training

README.md

@@ -0,0 +1,71 @@
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-final-contest
+  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-kinetics-final-contest
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6795
+- Accuracy: 0.8458
+
+## 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: 9e-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: 2464
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.0054        | 0.0913  | 225  | 0.9635          | 0.7764   |
+| 0.3981        | 1.0913  | 450  | 0.7286          | 0.7747   |
+| 0.1595        | 2.0913  | 675  | 0.6008          | 0.8215   |
+| 0.0302        | 3.0913  | 900  | 0.7152          | 0.8024   |
+| 0.015         | 4.0913  | 1125 | 0.7613          | 0.7903   |
+| 0.0019        | 5.0913  | 1350 | 0.6450          | 0.8354   |
+| 0.0037        | 6.0913  | 1575 | 0.5948          | 0.8510   |
+| 0.0037        | 7.0913  | 1800 | 0.6545          | 0.8354   |
+| 0.0005        | 8.0913  | 2025 | 0.6526          | 0.8440   |
+| 0.0005        | 9.0913  | 2250 | 0.6803          | 0.8458   |
+| 0.0004        | 10.0869 | 2464 | 0.6795          | 0.8458   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e94b931a7740125ab5dea2e8682c3c6962a2523f34c08f42ab17f5704c90f174
+oid sha256:353681b710f01efedf31495f771188406d32169f2bd7e2355701e5ecc866bb59
 size 344998856