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underscore2
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modernbert_agree_classifier

Text Classification
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modernbert
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End of training

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  1. README.md +10 -16
  2. model.safetensors +1 -1
  3. runs/May21_21-23-47_46d9a0ca97b3/events.out.tfevents.1747862636.46d9a0ca97b3.7177.0 +3 -0
  4. runs/May21_21-37-31_46d9a0ca97b3/events.out.tfevents.1747863460.46d9a0ca97b3.10767.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7424
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- - Accuracy: 0.5687
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  ## Model description
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@@ -42,27 +42,21 @@ The following hyperparameters were used during training:
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  - train_batch_size: 6
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  - eval_batch_size: 1
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 12
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: constant
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- - training_steps: 550
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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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- | 1.327 | 0.1497 | 50 | 0.6950 | 0.5640 |
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- | 1.5088 | 0.2994 | 100 | 0.6833 | 0.5687 |
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- | 1.2018 | 0.4491 | 150 | 0.6867 | 0.5687 |
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- | 1.3053 | 0.5988 | 200 | 0.6923 | 0.5687 |
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- | 1.2024 | 0.7485 | 250 | 0.6879 | 0.5687 |
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- | 1.774 | 0.8982 | 300 | 0.7197 | 0.4313 |
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- | 1.4274 | 1.0479 | 350 | 0.6862 | 0.5687 |
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- | 1.199 | 1.1976 | 400 | 0.6995 | 0.5687 |
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- | 1.4548 | 1.3473 | 450 | 0.7085 | 0.4313 |
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- | 1.581 | 1.4970 | 500 | 0.6845 | 0.5687 |
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- | 1.8775 | 1.6467 | 550 | 0.7424 | 0.5687 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7135
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+ - Accuracy: 0.6114
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  ## Model description
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  - train_batch_size: 6
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  - eval_batch_size: 1
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  - seed: 42
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+ - gradient_accumulation_steps: 10
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+ - total_train_batch_size: 60
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: constant
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+ - training_steps: 100
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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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+ | 6.6012 | 0.2994 | 20 | 0.6613 | 0.6114 |
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+ | 5.841 | 0.5988 | 40 | 0.7060 | 0.6114 |
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+ | 7.3284 | 0.8982 | 60 | 0.6671 | 0.6114 |
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+ | 6.9088 | 1.2096 | 80 | 0.6861 | 0.4834 |
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+ | 7.1679 | 1.5090 | 100 | 0.7135 | 0.6114 |
 
 
 
 
 
 
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  ### Framework versions
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