---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: sent_analysis_bert_simple
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sent_analysis_bert_simple

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5657

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6565        | 1.0   | 3125  | 0.6467          |
| 0.6365        | 2.0   | 6250  | 0.6191          |
| 0.6134        | 3.0   | 9375  | 0.6110          |
| 0.6034        | 4.0   | 12500 | 0.5904          |
| 0.5905        | 5.0   | 15625 | 0.5806          |
| 0.5942        | 6.0   | 18750 | 0.5751          |
| 0.5803        | 7.0   | 21875 | 0.5722          |
| 0.5726        | 8.0   | 25000 | 0.5676          |
| 0.5745        | 9.0   | 28125 | 0.5654          |
| 0.5746        | 10.0  | 31250 | 0.5657          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1