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: stereotype_finetuned_3_class
+  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. -->
+
+# stereotype_finetuned_3_class
+
+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: 0.1384
+- Accuracy: 0.9862
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1373        | 1.0   | 516  | 0.0668          | 0.9836   |
+| 0.0422        | 2.0   | 1032 | 0.0883          | 0.984    |
+| 0.0205        | 3.0   | 1548 | 0.0870          | 0.9847   |
+| 0.013         | 4.0   | 2064 | 0.0902          | 0.9851   |
+| 0.0119        | 5.0   | 2580 | 0.0944          | 0.9862   |
+| 0.005         | 6.0   | 3096 | 0.1035          | 0.9858   |
+| 0.0071        | 7.0   | 3612 | 0.1077          | 0.9858   |
+| 0.002         | 8.0   | 4128 | 0.1056          | 0.9844   |
+| 0.0046        | 9.0   | 4644 | 0.0999          | 0.9855   |
+| 0.0018        | 10.0  | 5160 | 0.1238          | 0.9858   |
+| 0.0003        | 11.0  | 5676 | 0.1326          | 0.9847   |
+| 0.0002        | 12.0  | 6192 | 0.1341          | 0.9858   |
+| 0.0015        | 13.0  | 6708 | 0.1338          | 0.9858   |
+| 0.0           | 14.0  | 7224 | 0.1438          | 0.9862   |
+| 0.0           | 15.0  | 7740 | 0.1384          | 0.9862   |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep20_08-57-07_b11780461a17/events.out.tfevents.1726822634.b11780461a17.36.0

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