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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-news-ds-imdb
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. -->
# bert-nlp-project-ft-news-ds-imdb
This model is a fine-tuned version of [jestemleon/bert-nlp-project-news](https://huggingface.co/jestemleon/bert-nlp-project-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2678
- Accuracy: 0.944
- F1: 0.9433
## 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: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2722 | 0.38 | 750 | 0.1888 | 0.9283 | 0.9262 |
| 0.2133 | 0.75 | 1500 | 0.1709 | 0.939 | 0.9363 |
| 0.1752 | 1.12 | 2250 | 0.2139 | 0.9395 | 0.9397 |
| 0.1234 | 1.5 | 3000 | 0.2063 | 0.944 | 0.9428 |
| 0.117 | 1.88 | 3750 | 0.2787 | 0.9327 | 0.9336 |
| 0.0766 | 2.25 | 4500 | 0.2711 | 0.9417 | 0.9412 |
| 0.0603 | 2.62 | 5250 | 0.2659 | 0.9423 | 0.9406 |
| 0.0563 | 3.0 | 6000 | 0.2678 | 0.944 | 0.9433 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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