End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: assignment2_attempt12
+  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. -->
+
+# assignment2_attempt12
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4482
+- Precision: 0.2534
+- Recall: 0.3814
+- F1: 0.3045
+- Accuracy: 0.9202
+
+## 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: 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: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 347  | 0.2883          | 0.125     | 0.0859 | 0.1018 | 0.9235   |
+| 0.2263        | 2.0   | 694  | 0.2942          | 0.1863    | 0.1684 | 0.1769 | 0.9289   |
+| 0.1098        | 3.0   | 1041 | 0.3449          | 0.2450    | 0.2543 | 0.2496 | 0.9312   |
+| 0.1098        | 4.0   | 1388 | 0.3747          | 0.2334    | 0.3265 | 0.2722 | 0.9237   |
+| 0.0486        | 5.0   | 1735 | 0.4383          | 0.2656    | 0.2784 | 0.2718 | 0.9277   |
+| 0.0257        | 6.0   | 2082 | 0.4482          | 0.2534    | 0.3814 | 0.3045 | 0.9202   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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