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mvit_v2_rwf-2000

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  1. README.md +2 -28
  2. model.safetensors +1 -1
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  23. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,6 @@
1
  ---
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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: mvit_v2_rwf-2000
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  results: []
@@ -14,9 +12,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # mvit_v2_rwf-2000
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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: 0.4700
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- - Accuracy: 0.8975
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  ## Model description
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@@ -41,32 +36,11 @@ The following hyperparameters were used during training:
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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: 2850
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.6151 | 0.0667 | 190 | 0.3783 | 0.8688 |
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- | 0.3347 | 1.0667 | 380 | 0.2809 | 0.9062 |
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- | 0.2167 | 2.0667 | 570 | 0.4496 | 0.8938 |
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- | 0.3886 | 3.0667 | 760 | 0.3636 | 0.925 |
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- | 0.3391 | 4.0667 | 950 | 0.3648 | 0.9125 |
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- | 0.0884 | 5.0667 | 1140 | 0.4377 | 0.9125 |
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- | 0.2528 | 6.0667 | 1330 | 0.5013 | 0.9125 |
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- | 0.0272 | 7.0667 | 1520 | 0.4900 | 0.925 |
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- | 0.291 | 8.0667 | 1710 | 0.5224 | 0.9125 |
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- | 0.0597 | 9.0667 | 1900 | 0.6107 | 0.9125 |
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- | 0.1327 | 10.0667 | 2090 | 0.6103 | 0.9187 |
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- | 0.1942 | 11.0667 | 2280 | 0.6082 | 0.9062 |
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- | 0.3295 | 12.0667 | 2470 | 0.6353 | 0.9062 |
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- | 0.0117 | 13.0667 | 2660 | 0.6410 | 0.9187 |
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- | 0.0905 | 14.0667 | 2850 | 0.6545 | 0.9125 |
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-
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  ### Framework versions
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- - Transformers 4.43.4
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
4
  model-index:
5
  - name: mvit_v2_rwf-2000
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  results: []
 
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  # mvit_v2_rwf-2000
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 
 
 
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  ## Model description
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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: 1520
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.44.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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