Model save

README.md

@@ -0,0 +1,85 @@
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-bleeding-exp_0
+  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-bleeding-exp_0
+
+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: 1.4958
+- Accuracy: 0.5
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.04  | 2    | 0.6967          | 0.5      |
+| No log        | 1.04  | 4    | 0.6799          | 0.75     |
+| No log        | 2.04  | 6    | 0.6721          | 0.75     |
+| No log        | 3.04  | 8    | 0.6742          | 0.75     |
+| 0.6424        | 4.04  | 10   | 0.6927          | 0.25     |
+| 0.6424        | 5.04  | 12   | 0.7295          | 0.5      |
+| 0.6424        | 6.04  | 14   | 0.8047          | 0.5      |
+| 0.6424        | 7.04  | 16   | 0.8589          | 0.5      |
+| 0.6424        | 8.04  | 18   | 0.8842          | 0.5      |
+| 0.6123        | 9.04  | 20   | 0.9349          | 0.5      |
+| 0.6123        | 10.04 | 22   | 0.9543          | 0.5      |
+| 0.6123        | 11.04 | 24   | 0.9924          | 0.5      |
+| 0.6123        | 12.04 | 26   | 1.0729          | 0.5      |
+| 0.6123        | 13.04 | 28   | 1.2268          | 0.5      |
+| 0.3641        | 14.04 | 30   | 1.3759          | 0.5      |
+| 0.3641        | 15.04 | 32   | 1.4344          | 0.5      |
+| 0.3641        | 16.04 | 34   | 1.4563          | 0.5      |
+| 0.3641        | 17.04 | 36   | 1.4365          | 0.5      |
+| 0.3641        | 18.04 | 38   | 1.4343          | 0.5      |
+| 0.4378        | 19.04 | 40   | 1.4375          | 0.5      |
+| 0.4378        | 20.04 | 42   | 1.4530          | 0.5      |
+| 0.4378        | 21.04 | 44   | 1.4732          | 0.5      |
+| 0.4378        | 22.04 | 46   | 1.4877          | 0.5      |
+| 0.4378        | 23.04 | 48   | 1.4919          | 0.5      |
+| 0.222         | 24.04 | 50   | 1.4958          | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 1.12.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f72a2ebe44c52be4326983fba5b97e543232b5b759852f8ad52e588f0aaeceb1
+oid sha256:1fa88666f37998f44c7511c9135c988af4b8dc655770e744e05d8cbae0b0d3e5
 size 344937368

runs/Jul02_08-39-27_zolxq00024/events.out.tfevents.1719902369.zolxq00024

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ca01e8537d3940d080dad0e4ebef6ac7e3f16be77a19e55ee1c57b42766ad9f
-size 13711
+oid sha256:e1cb6979c00a566305f3beb7ccb31a0a594e301e07391ff1e06781bc60bd3829
+size 14376