End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: hw2advanced
+  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. -->
+
+# hw2advanced
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2408
+- Precision: {'precision': 0.9067133278302073}
+- Recall: {'recall': 0.903472079391197}
+- F1: {'f1': 0.9050586148832505}
+- Accuracy: {'accuracy': 0.9160687311178247}
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision                         | Recall                         | F1                         | Accuracy                         |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|:------------------------------:|:--------------------------:|:--------------------------------:|
+| 0.4744        | 1.0   | 1324 | 0.3413          | {'precision': 0.8554480519619763} | {'recall': 0.8395979020979021} | {'f1': 0.8466159268992823} | {'accuracy': 0.866786253776435}  |
+| 0.3566        | 2.0   | 2648 | 0.2408          | {'precision': 0.9067133278302073} | {'recall': 0.903472079391197}  | {'f1': 0.9050586148832505} | {'accuracy': 0.9160687311178247} |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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