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: test_trainer_3
+  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. -->
+
+# test_trainer_3
+
+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: 1.4792
+- Accuracy: 0.344
+
+## 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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 63   | 1.5046          | 0.31     |
+| No log        | 2.0   | 126  | 1.4847          | 0.338    |
+| No log        | 3.0   | 189  | 1.4792          | 0.344    |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep06_12-08-24_d5f064ae6846/events.out.tfevents.1725624509.d5f064ae6846.36.1

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