---
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
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# 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: 0.3449
- F1-score: 0.8812

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3875        | 1.0   | 1280 | 0.3449          | 0.8812   |
| 0.2489        | 2.0   | 2560 | 0.3474          | 0.9023   |
| 0.1107        | 3.0   | 3840 | 0.4055          | 0.9160   |
| 0.0373        | 4.0   | 5120 | 0.5073          | 0.9211   |
| 0.0078        | 5.0   | 6400 | 0.5783          | 0.9156   |


### Framework versions

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