End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gavinqiangli/my_awesome_model_3
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_model_4
+  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. -->
+
+# my_awesome_model_4
+
+This model is a fine-tuned version of [gavinqiangli/my_awesome_model_3](https://huggingface.co/gavinqiangli/my_awesome_model_3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3410
+- Accuracy: 0.942
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1355        | 1.0   | 1000 | 0.2157          | 0.9275   |
+| 0.131         | 2.0   | 2000 | 0.1944          | 0.935    |
+| 0.0973        | 3.0   | 3000 | 0.2334          | 0.9375   |
+| 0.0725        | 4.0   | 4000 | 0.2557          | 0.9395   |
+| 0.0422        | 5.0   | 5000 | 0.3158          | 0.94     |
+| 0.0352        | 6.0   | 6000 | 0.3389          | 0.943    |
+| 0.0188        | 7.0   | 7000 | 0.3446          | 0.94     |
+| 0.0123        | 8.0   | 8000 | 0.3410          | 0.942    |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

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