---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: kuumba_model
  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. -->

# kuumba_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0055
- Mse: 0.0055
- Mae: 0.0547
- R2: 0.9193

## 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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| No log        | 1.0   | 61   | 0.0139          | 0.0139 | 0.0816 | 0.7959 |
| No log        | 2.0   | 122  | 0.0093          | 0.0093 | 0.0796 | 0.8629 |
| No log        | 3.0   | 183  | 0.0081          | 0.0081 | 0.0711 | 0.8809 |
| No log        | 4.0   | 244  | 0.0064          | 0.0064 | 0.0586 | 0.9056 |
| No log        | 5.0   | 305  | 0.0055          | 0.0055 | 0.0547 | 0.9193 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.20.3