End of training
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- training_args.bin +1 -1
README.md
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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-llm-cidoc-crm
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results: []
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# modernbert-llm-cidoc-crm
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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: 5.4123
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- F1: 0.0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- total_train_batch_size: 64
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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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- 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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| No log | 0.5714 | 1 | 4.9327 | 0.0 |
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| No log | 1.5714 | 2 | 5.0024 | 0.0 |
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| No log | 2.5714 | 3 | 5.0481 | 0.0 |
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| No log | 3.5714 | 4 | 5.1106 | 0.0 |
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| No log | 4.5714 | 5 | 5.1695 | 0.0 |
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| No log | 5.5714 | 6 | 5.2392 | 0.0 |
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| No log | 6.5714 | 7 | 5.2945 | 0.0 |
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| No log | 7.5714 | 8 | 5.3534 | 0.0 |
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| No log | 8.5714 | 9 | 5.3930 | 0.0 |
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| No log | 9.5714 | 10 | 5.4123 | 0.0 |
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### Framework versions
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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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model-index:
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- name: modernbert-llm-cidoc-crm
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results: []
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# modernbert-llm-cidoc-crm
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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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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- total_train_batch_size: 64
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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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### Framework versions
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model.safetensors
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training_args.bin
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