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---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: output
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. -->
# output
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8310
- Accuracy: 0.7919
- Precision: 0.8030
- Recall: 0.7919
- F1: 0.7889
## 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: 12
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log | 1.0 | 495 | 1.0327 | 0.7253 | 0.7362 | 0.7253 | 0.7090 |
| 1.68 | 2.0 | 990 | 0.8310 | 0.7919 | 0.8030 | 0.7919 | 0.7889 |
| 0.8242 | 3.0 | 1485 | 0.8599 | 0.8091 | 0.8106 | 0.8091 | 0.8013 |
| 0.6748 | 4.0 | 1980 | 0.8628 | 0.8263 | 0.8125 | 0.8263 | 0.8158 |
| 0.4822 | 5.0 | 2475 | 1.0139 | 0.8162 | 0.8065 | 0.8162 | 0.8070 |
| 0.3781 | 6.0 | 2970 | 1.0535 | 0.8081 | 0.8013 | 0.8081 | 0.8011 |
| 0.3832 | 7.0 | 3465 | 1.1459 | 0.8081 | 0.8039 | 0.8081 | 0.8034 |
| 0.3101 | 8.0 | 3960 | 1.3831 | 0.7788 | 0.8079 | 0.7788 | 0.7847 |
| 0.2665 | 9.0 | 4455 | 1.2051 | 0.8222 | 0.8263 | 0.8222 | 0.8197 |
| 0.2286 | 10.0 | 4950 | 1.4487 | 0.7980 | 0.8064 | 0.7980 | 0.7962 |
| 0.2163 | 11.0 | 5445 | 1.4848 | 0.8121 | 0.8240 | 0.8121 | 0.8123 |
| 0.1965 | 12.0 | 5940 | 1.4572 | 0.7919 | 0.8051 | 0.7919 | 0.7919 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0
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