Training completed

README.md

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+---
+license: apache-2.0
+base_model: ICT2214Team7/RoBERTa_Test_Training
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: Combined_model_v1
+  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. -->
+
+# Combined_model_v1
+
+This model is a fine-tuned version of [ICT2214Team7/RoBERTa_Test_Training](https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1242
+- Precision: 0.8
+- Recall: 0.9231
+- F1: 0.8571
+- Accuracy: 0.9667
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 10   | 0.1598          | 0.6667    | 0.7692 | 0.7143 | 0.9417   |
+| No log        | 2.0   | 20   | 0.1385          | 0.625     | 0.7692 | 0.6897 | 0.9583   |
+| No log        | 3.0   | 30   | 0.1242          | 0.8       | 0.9231 | 0.8571 | 0.9667   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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