---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-sentiment-6000-bert-base-uncased
  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. -->

# boss-sentiment-6000-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- F1: 0.6808
- Acc: 0.8249
- Loss: 1.1523

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | F1     | Acc    | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
| No log        | 1.0   | 375  | 0.6519 | 0.8092 | 0.5142          |
| 0.8417        | 2.0   | 750  | 0.6644 | 0.8447 | 0.4261          |
| 0.4234        | 3.0   | 1125 | 0.7150 | 0.8582 | 0.4002          |
| 0.234         | 4.0   | 1500 | 0.7360 | 0.8883 | 0.4355          |
| 0.234         | 5.0   | 1875 | 0.7408 | 0.8848 | 0.5524          |
| 0.1203        | 6.0   | 2250 | 0.7118 | 0.8484 | 0.8452          |
| 0.0738        | 7.0   | 2625 | 0.7201 | 0.8680 | 0.8452          |
| 0.0416        | 8.0   | 3000 | 0.6808 | 0.8249 | 1.1523          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1