metadata
license: mit
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: 0.6934
- Rmse: 0.6538
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 |
|---|---|---|---|---|
| 0.7459 | 1.0 | 500 | 0.7830 | 0.7537 |
| 0.6459 | 2.0 | 1000 | 0.6346 | 0.6580 |
| 0.5262 | 3.0 | 1500 | 0.6565 | 0.6588 |
| 0.4144 | 4.0 | 2000 | 0.6934 | 0.6538 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3