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

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

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: 0.6184

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6926        | 1.0   | 1000 | 0.6214          |
| 0.5621        | 2.0   | 2000 | 0.6184          |
| 0.398         | 3.0   | 3000 | 0.7893          |
| 0.2447        | 4.0   | 4000 | 1.1513          |
| 0.1501        | 5.0   | 5000 | 1.3035          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1