metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: kuumba_model
results: []
kuumba_model
This model is a fine-tuned version of 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