Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: modernbert_seeker
+  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_seeker
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8876
+- F1: 0.7635
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 92   | 0.6179          | 0.5993 |
+| 0.7932        | 2.0   | 184  | 0.6113          | 0.5993 |
+| 0.6589        | 3.0   | 276  | 0.6632          | 0.6305 |
+| 0.6418        | 4.0   | 368  | 0.6268          | 0.5993 |
+| 0.6315        | 5.0   | 460  | 0.9375          | 0.2508 |
+| 0.6522        | 6.0   | 552  | 0.5820          | 0.5886 |
+| 0.6183        | 7.0   | 644  | 0.5538          | 0.6857 |
+| 0.6136        | 8.0   | 736  | 0.5223          | 0.6736 |
+| 0.496         | 9.0   | 828  | 0.7308          | 0.7777 |
+| 0.4858        | 10.0  | 920  | 0.7452          | 0.7832 |
+| 0.4181        | 11.0  | 1012 | 0.7523          | 0.7799 |
+| 0.3395        | 12.0  | 1104 | 1.1841          | 0.7417 |
+| 0.3395        | 13.0  | 1196 | 0.7770          | 0.8181 |
+| 0.2375        | 14.0  | 1288 | 1.1497          | 0.7773 |
+| 0.1728        | 15.0  | 1380 | 1.5189          | 0.7635 |
+| 0.0324        | 16.0  | 1472 | 1.6500          | 0.7420 |
+| 0.0764        | 17.0  | 1564 | 1.5011          | 0.7635 |
+| 0.0244        | 18.0  | 1656 | 1.5790          | 0.7544 |
+| 0.0002        | 19.0  | 1748 | 1.9299          | 0.7539 |
+| 0.0004        | 20.0  | 1840 | 1.7885          | 0.7635 |
+| 0.0001        | 21.0  | 1932 | 1.8230          | 0.7635 |
+| 0.0001        | 22.0  | 2024 | 1.8578          | 0.7635 |
+| 0.0           | 23.0  | 2116 | 1.8765          | 0.7635 |
+| 0.0           | 24.0  | 2208 | 1.8845          | 0.7635 |
+| 0.0           | 25.0  | 2300 | 1.8876          | 0.7635 |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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