End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-Embedding-0.6B
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: BingoGuard-qwen3-embedding-0.6B-classifier-2
+  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-qwen3-embedding-0.6B-classifier-2
+
+This model is a fine-tuned version of [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1683
+- Accuracy: 0.9536
+- F1: 0.7202
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 48
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 3.2587        | 1.0   | 1215 | 0.1498          | 0.9319   | 0.6330 |
+| 2.4709        | 2.0   | 2430 | 0.1254          | 0.9428   | 0.6705 |
+| 1.9946        | 3.0   | 3645 | 0.1293          | 0.9452   | 0.6764 |
+| 1.634         | 4.0   | 4860 | 0.1333          | 0.9457   | 0.6978 |
+| 1.0223        | 5.0   | 6075 | 0.1683          | 0.9536   | 0.7202 |
+
+
+### Framework versions
+
+- Transformers 4.55.2
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.4