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: BertDiscussionComp
+  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. -->
+
+# BertDiscussionComp
+
+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: 0.7725
+- Accuracy: 0.7743
+- Precision: 0.4149
+- Recall: 0.4305
+- F1: 0.4196
+- Top3: 0.9389
+- Top3macro: 0.6172
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:---------:|
+| 1.4786        | 1.0   | 1640 | 1.2465          | 0.6157   | 0.2343    | 0.2236 | 0.2018 | 0.8509 | 0.4342    |
+| 0.9172        | 2.0   | 3280 | 0.8520          | 0.7493   | 0.3946    | 0.3700 | 0.3751 | 0.9250 | 0.5534    |
+| 0.6639        | 3.0   | 4920 | 0.8068          | 0.7597   | 0.3980    | 0.4112 | 0.4006 | 0.9299 | 0.5995    |
+| 0.5251        | 4.0   | 6560 | 0.8011          | 0.7658   | 0.4043    | 0.4194 | 0.4110 | 0.9375 | 0.6070    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.2.1
+- Tokenizers 0.19.1

runs/Jun09_16-52-55_05d30572db34/events.out.tfevents.1717958226.05d30572db34.34.1

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