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End of training
Browse files- README.md +75 -0
- model.safetensors +1 -1
README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base-finetuned-kinetics
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: videomae-base-finetuned-kinetics-final-contest-baole4-0705
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# videomae-base-finetuned-kinetics-final-contest-baole4-0705
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.3771
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- Accuracy: 0.8807
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 2805
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| 0.4477 | 0.0670 | 188 | 0.8428 | 0.8486 |
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| 0.3123 | 1.0670 | 376 | 0.6401 | 0.8532 |
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| 0.2498 | 2.0670 | 564 | 0.5204 | 0.8578 |
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| 0.0348 | 3.0670 | 752 | 0.4130 | 0.8899 |
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| 0.146 | 4.0670 | 940 | 0.3617 | 0.8991 |
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| 0.038 | 5.0670 | 1128 | 0.4519 | 0.8670 |
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| 0.0116 | 6.0670 | 1316 | 0.4160 | 0.8716 |
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| 0.0083 | 7.0670 | 1504 | 0.3683 | 0.8807 |
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| 0.0067 | 8.0670 | 1692 | 0.3820 | 0.8807 |
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| 0.0051 | 9.0670 | 1880 | 0.3932 | 0.8761 |
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| 0.0057 | 10.0670 | 2068 | 0.3944 | 0.8853 |
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| 0.0045 | 11.0670 | 2256 | 0.4133 | 0.8761 |
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| 0.0042 | 12.0670 | 2444 | 0.3813 | 0.8807 |
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| 0.0037 | 13.0670 | 2632 | 0.3806 | 0.8853 |
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| 0.0039 | 14.0617 | 2805 | 0.3771 | 0.8807 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344998856
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version https://git-lfs.github.com/spec/v1
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oid sha256:35757678c4628d614e38bc09f713c6c8d57c296357068b80988497b7ff3a4eaa
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size 344998856
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