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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
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