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-finetuned-round2-v2
+  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-finetuned-round2-v2
+
+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: 0.3887
+- Accuracy: 0.8846
+
+## 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: 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: 1804
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0866        | 0.09  | 165  | 1.3158          | 0.6758   |
+| 0.2793        | 1.09  | 330  | 0.5707          | 0.8159   |
+| 0.2073        | 2.09  | 495  | 0.5581          | 0.8269   |
+| 0.0239        | 3.09  | 660  | 0.3737          | 0.8819   |
+| 0.0041        | 4.09  | 825  | 0.4101          | 0.8901   |
+| 0.0038        | 5.09  | 990  | 0.5469          | 0.8736   |
+| 0.0022        | 6.09  | 1155 | 0.3599          | 0.9066   |
+| 0.0018        | 7.09  | 1320 | 0.3992          | 0.8929   |
+| 0.0012        | 8.09  | 1485 | 0.4096          | 0.8846   |
+| 0.0043        | 9.09  | 1650 | 0.3938          | 0.8819   |
+| 0.0014        | 10.09 | 1804 | 0.3887          | 0.8846   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4730613da70ba4ba9963f699e33c6483a28341a76a701e28720d6539681b218c
+oid sha256:141e9c8fc81d07cf0bc7f78f9ff7f09a710808c23d92764d42697c1a3e62d0e2
 size 344998856