End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- pearsonr
+- spearmanr
+model-index:
+- name: ModernBERT-ft-stsb
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ModernBERT-ft-stsb
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4316
+- Pearsonr: 0.8992
+- Spearmanr: 0.8980
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 8e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearsonr | Spearmanr |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|
+| 1.1095        | 1.0   | 45   | 0.5094          | 0.8845   | 0.8844    |
+| 0.35          | 2.0   | 90   | 0.4679          | 0.8957   | 0.8935    |
+| 0.1817        | 3.0   | 135  | 0.4329          | 0.8997   | 0.8984    |
+| 0.0921        | 4.0   | 180  | 0.4316          | 0.8992   | 0.8980    |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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