End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: BRlkl/BingoGuard-bert-large-base-benchmarks
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: BingoGuard-bert-large-base-plus-custom
+  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. -->
+
+# BingoGuard-bert-large-base-plus-custom
+
+This model is a fine-tuned version of [BRlkl/BingoGuard-bert-large-base-benchmarks](https://huggingface.co/BRlkl/BingoGuard-bert-large-base-benchmarks) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6046
+- Accuracy: 0.8915
+- F1: 0.8884
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.3266        | 1.0   | 67   | 0.2604          | 0.8979   | 0.8970 |
+| 0.2215        | 2.0   | 134  | 0.2803          | 0.8851   | 0.8831 |
+| 0.096         | 3.0   | 201  | 0.3214          | 0.8894   | 0.8874 |
+| 0.0439        | 4.0   | 268  | 0.4621          | 0.8915   | 0.8903 |
+| 0.0324        | 5.0   | 335  | 0.5207          | 0.8936   | 0.8913 |
+| 0.0119        | 6.0   | 402  | 0.5807          | 0.8915   | 0.8884 |
+| 0.0076        | 7.0   | 469  | 0.5984          | 0.8936   | 0.8913 |
+| 0.0032        | 8.0   | 536  | 0.6046          | 0.8915   | 0.8884 |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.4

model.safetensors

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