Model save
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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- f1
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- precision
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model-index:
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- name: mvit_v1_b_Kinetics400_transf_c_rwf2000
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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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# mvit_v1_b_Kinetics400_transf_c_rwf2000
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5304
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- Accuracy: 0.8438
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- F1: 0.8410
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- Precision: 0.8692
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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: 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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- training_steps: 1900
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
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| 0.4837 | 0.1 | 190 | 0.9726 | 0.6687 | 0.6375 | 0.7577 |
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| 0.4771 | 1.1 | 380 | 0.4598 | 0.8375 | 0.8366 | 0.8453 |
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| 0.2694 | 2.1 | 570 | 0.4626 | 0.8313 | 0.8298 | 0.8433 |
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| 0.4363 | 3.1 | 760 | 0.3822 | 0.8438 | 0.8436 | 0.8451 |
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| 0.4551 | 4.1 | 950 | 0.5675 | 0.8375 | 0.8338 | 0.8709 |
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| 0.2914 | 5.1 | 1140 | 0.6119 | 0.8187 | 0.8134 | 0.8597 |
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| 0.5212 | 6.1 | 1330 | 0.5304 | 0.8438 | 0.8410 | 0.8692 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.21.0
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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 146681160
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version https://git-lfs.github.com/spec/v1
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size 146681160
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