---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-sentiment-24000-bert-base-uncased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# boss-sentiment-24000-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: 0.7394
- Acc: 0.8769
- Loss: 0.7205

## 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 |
|:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
| 0.5326        | 1.0   | 1500 | 0.6849 | 0.8225 | 0.4703          |
| 0.446         | 2.0   | 3000 | 0.7067 | 0.8411 | 0.4367          |
| 0.3243        | 3.0   | 4500 | 0.7751 | 0.9106 | 0.2869          |
| 0.2342        | 4.0   | 6000 | 0.7532 | 0.8868 | 0.4170          |
| 0.1683        | 5.0   | 7500 | 0.7469 | 0.8772 | 0.6099          |
| 0.1235        | 6.0   | 9000 | 0.7394 | 0.8769 | 0.7205          |


### Framework versions

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