End of training

README.md

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+---
+license: mit
+base_model: wu981526092/Sentence-Level-Stereotype-Detector
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: age_gender_ft_1
+  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. -->
+
+# age_gender_ft_1
+
+This model is a fine-tuned version of [wu981526092/Sentence-Level-Stereotype-Detector](https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0976
+- Accuracy: 0.98
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 75   | 0.1723          | 0.9567   |
+| No log        | 2.0   | 150  | 0.1166          | 0.97     |
+| No log        | 3.0   | 225  | 0.0715          | 0.9733   |
+| No log        | 4.0   | 300  | 0.0666          | 0.9833   |
+| No log        | 5.0   | 375  | 0.0801          | 0.9767   |
+| No log        | 6.0   | 450  | 0.0910          | 0.98     |
+| 0.1225        | 7.0   | 525  | 0.0913          | 0.98     |
+| 0.1225        | 8.0   | 600  | 0.1151          | 0.98     |
+| 0.1225        | 9.0   | 675  | 0.0959          | 0.9733   |
+| 0.1225        | 10.0  | 750  | 0.0976          | 0.98     |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep06_18-45-01_4b9486a907ec/events.out.tfevents.1725648306.4b9486a907ec.36.0

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