metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: my_model
results: []
my_model
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7454
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0953 | 1.0 | 638 | 1.7533 |
| 1.5883 | 2.0 | 1276 | 1.7634 |
| 1.8087 | 3.0 | 1914 | 1.7753 |
| 1.613 | 4.0 | 2552 | 1.7514 |
| 1.6691 | 5.0 | 3190 | 1.7454 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0