End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: BertAbstractIntroduction
+  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. -->
+
+# BertAbstractIntroduction
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5373
+- Accuracy: 0.8527
+- Precision: 0.7768
+- Recall: 0.7740
+- F1: 0.7724
+- Top3: 0.9608
+- Top3macro: 0.9355
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     | Top3   | Top3macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:---------:|
+| 0.7833        | 1.0   | 4135  | 0.7301          | 0.7864   | 0.6818    | 0.6113 | 0.6160 | 0.9290 | 0.8766    |
+| 0.5357        | 2.0   | 8270  | 0.5875          | 0.8291   | 0.7464    | 0.7173 | 0.7214 | 0.9503 | 0.9119    |
+| 0.3875        | 3.0   | 12405 | 0.5240          | 0.8459   | 0.7629    | 0.7541 | 0.7541 | 0.9629 | 0.9359    |
+| 0.2544        | 4.0   | 16540 | 0.5292          | 0.8577   | 0.7759    | 0.7680 | 0.7705 | 0.9643 | 0.9397    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.2.1
+- Tokenizers 0.19.1

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