Model save
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-large
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: ST1_modernbert-large_hazard-category_V2
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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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# ST1_modernbert-large_hazard-category_V2
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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: 0.3219
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- F1: 0.9424
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.7171 | 1.0 | 286 | 0.3730 | 0.8750 |
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| 0.2641 | 2.0 | 572 | 0.3079 | 0.9201 |
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| 0.1531 | 3.0 | 858 | 0.2666 | 0.9324 |
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| 0.0803 | 4.0 | 1144 | 0.2954 | 0.9392 |
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| 0.0353 | 5.0 | 1430 | 0.3219 | 0.9424 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.4.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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model.safetensors
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runs/Jan14_02-51-56_ben-iir/events.out.tfevents.1736823116.ben-iir.2468389.0
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