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--- |
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license: cc-by-nc-4.0 |
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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-finetuned-IEMOCAP_videos_20 |
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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-finetuned-IEMOCAP_videos_20 |
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This model is a fine-tuned version of [minoosh/videomae-base-finetuned-IEMOCAP_videos](https://huggingface.co/minoosh/videomae-base-finetuned-IEMOCAP_videos) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3677 |
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- Accuracy: 0.3375 |
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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: 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: 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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| 1.317 | 0.2 | 815 | 1.3669 | 0.2291 | |
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| 1.3102 | 1.2 | 1630 | 1.4069 | 0.2698 | |
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| 1.2155 | 2.2 | 2445 | 1.3784 | 0.2857 | |
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| 1.1855 | 3.2 | 3260 | 1.3396 | 0.3538 | |
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| 1.5309 | 4.2 | 4070 | 1.3619 | 0.3055 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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