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  1. README.md +6 -6
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@@ -14,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # AV_MAE_task2_8_DF1M
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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: 0.3676
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- - Accuracy: 0.8919
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- - F1: 0.8830
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  ## Model description
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@@ -44,14 +44,14 @@ The following hyperparameters were used during training:
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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: 18792
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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- | 0.3847 | 1.0 | 18792 | 0.3676 | 0.8919 | 0.8830 |
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  ### Framework versions
 
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  # AV_MAE_task2_8_DF1M
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3903
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+ - Accuracy: 0.8924
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+ - F1: 0.8831
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  ## Model description
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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: 13750
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 0.3724 | 1.0 | 13750 | 0.3903 | 0.8924 | 0.8831 |
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  ### Framework versions