metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: mytest_trainer_roberta-base
results: []
mytest_trainer_roberta-base
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6361
- Rmse: 0.6573
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.742 | 1.0 | 500 | 0.6680 | 0.7110 |
| 0.6323 | 2.0 | 1000 | 0.6681 | 0.7018 |
| 0.5293 | 3.0 | 1500 | 0.6361 | 0.6573 |
| 0.4233 | 4.0 | 2000 | 0.6638 | 0.6538 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3