---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: sentence_sentiments_analysis_bert
  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. -->

# sentence_sentiments_analysis_bert

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co./bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3359
- F1-score: 0.9076

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1-score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3379        | 1.0   | 2500  | 0.3514          | 0.9024   |
| 0.236         | 2.0   | 5000  | 0.3359          | 0.9076   |
| 0.1406        | 3.0   | 7500  | 0.4492          | 0.9097   |
| 0.0519        | 4.0   | 10000 | 0.5020          | 0.9172   |
| 0.0323        | 5.0   | 12500 | 0.5299          | 0.9198   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3