End of training
Browse files- README.md +70 -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
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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-IEMOCAP_videos
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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-IEMOCAP_videos
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3290
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- Accuracy: 0.3497
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 4070
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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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| 1.4698 | 0.1002 | 408 | 1.4911 | 0.2071 |
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| 1.396 | 1.1002 | 816 | 1.3825 | 0.2621 |
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| 1.2776 | 2.1002 | 1224 | 1.4461 | 0.2714 |
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| 1.2976 | 3.1002 | 1632 | 1.4535 | 0.2632 |
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| 1.34 | 4.1002 | 2040 | 1.4480 | 0.2527 |
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| 1.3607 | 5.1002 | 2448 | 1.3579 | 0.3121 |
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| 1.2931 | 6.1002 | 2856 | 1.3612 | 0.3159 |
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| 1.3231 | 7.1002 | 3264 | 1.3727 | 0.2582 |
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| 1.3491 | 8.1002 | 3672 | 1.4132 | 0.2451 |
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| 1.2063 | 9.0978 | 4070 | 1.4588 | 0.2582 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 344943528
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version https://git-lfs.github.com/spec/v1
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size 344943528
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