End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: NLPGroupProject-Finetune-Bert
+  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. -->
+
+# NLPGroupProject-Finetune-Bert
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2570
+- Accuracy: 0.716
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.25  | 250  | 0.9015          | 0.677    |
+| 0.9879        | 0.5   | 500  | 0.8100          | 0.71     |
+| 0.9879        | 0.75  | 750  | 0.9159          | 0.709    |
+| 0.8313        | 1.0   | 1000 | 0.9674          | 0.722    |
+| 0.8313        | 1.25  | 1250 | 0.9637          | 0.719    |
+| 0.628         | 1.5   | 1500 | 0.7818          | 0.719    |
+| 0.628         | 1.75  | 1750 | 0.9127          | 0.721    |
+| 0.6537        | 2.0   | 2000 | 0.8752          | 0.722    |
+| 0.6537        | 2.25  | 2250 | 1.3051          | 0.716    |
+| 0.4037        | 2.5   | 2500 | 1.2484          | 0.712    |
+| 0.4037        | 2.75  | 2750 | 1.2599          | 0.72     |
+| 0.3853        | 3.0   | 3000 | 1.2570          | 0.716    |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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