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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-base
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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: ModernBERT-base-reference_AllLang-Cefr
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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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# ModernBERT-base-reference_AllLang-Cefr
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1824
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- F1: 0.7843
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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: 3.6e-05
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- train_batch_size: 3
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- eval_batch_size: 3
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 48
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- optimizer: Use 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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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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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| 10.8537 | 1.0 | 777 | 1.1931 | 0.4316 |
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| 10.762 | 2.0 | 1554 | 1.0830 | 0.5537 |
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| 7.9383 | 3.0 | 2331 | 1.0143 | 0.7206 |
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| 6.7542 | 4.0 | 3108 | 0.8811 | 0.7609 |
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| 2.4367 | 5.0 | 3885 | 0.8766 | 0.8086 |
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| 2.2561 | 6.0 | 4662 | 0.9095 | 0.8237 |
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| 1.5476 | 7.0 | 5439 | 1.1254 | 0.8033 |
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| 1.1745 | 8.0 | 6216 | 1.2081 | 0.7783 |
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| 0.9897 | 9.0 | 6993 | 1.0684 | 0.7855 |
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| 0.8243 | 10.0 | 7770 | 1.1824 | 0.7843 |
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### Framework versions
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- Transformers 4.53.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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