End of training

README.md

@@ -0,0 +1,70 @@
+---
+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-V6KILLER
+  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-V6KILLER
+
+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: 0.1568
+- Accuracy: 0.9508
+
+## 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: 15
+- eval_batch_size: 15
+- 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: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1861        | 0.1   | 51   | 0.1321          | 0.9549   |
+| 0.2014        | 1.1   | 102  | 0.1460          | 0.9416   |
+| 0.0963        | 2.1   | 153  | 0.2060          | 0.9240   |
+| 0.1975        | 3.1   | 204  | 0.2031          | 0.9382   |
+| 0.1017        | 4.1   | 255  | 0.1010          | 0.9574   |
+| 0.1589        | 5.1   | 306  | 0.2064          | 0.9073   |
+| 0.0272        | 6.1   | 357  | 0.1119          | 0.9549   |
+| 0.0424        | 7.1   | 408  | 0.1136          | 0.9591   |
+| 0.0239        | 8.1   | 459  | 0.2198          | 0.9416   |
+| 0.0897        | 9.08  | 500  | 0.1715          | 0.9533   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8811e416ff2751e6b86a9d377de1838edc07bb3c3949a9422b3960176ea97ee
+oid sha256:6792c0ab6a94aed621fafe75ce95c5abdc762a0c4f165adc85b5698d6a4def53
 size 344937328

runs/Nov18_16-26-47_DESKTOP-T6E146I/events.out.tfevents.1700324138.DESKTOP-T6E146I.75104.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47f549c9804e02a8351fc45b9497cb8e84e154eb64c7c68f8676aadc1d76f321
+size 363