---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-sentiment-1500-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-1500-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: 0.6639
- Acc: 0.8128
- Loss: 0.9879

## 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   | 94   | 0.4638 | 0.6355 | 1.0296          |
| No log        | 2.0   | 188  | 0.6014 | 0.8005 | 0.5842          |
| No log        | 3.0   | 282  | 0.6925 | 0.8577 | 0.3928          |
| No log        | 4.0   | 376  | 0.6529 | 0.7895 | 0.6497          |
| No log        | 5.0   | 470  | 0.6965 | 0.8595 | 0.5122          |
| 0.5499        | 6.0   | 564  | 0.6758 | 0.8256 | 0.7653          |
| 0.5499        | 7.0   | 658  | 0.6720 | 0.8277 | 0.8562          |
| 0.5499        | 8.0   | 752  | 0.6639 | 0.8128 | 0.9879          |


### Framework versions

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