metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: ptdltm-aes-2
results: []
ptdltm-aes-2
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8711
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9163 | 1.0 | 599 | 0.8933 |
| 0.8479 | 2.0 | 1198 | 0.8159 |
| 0.8265 | 3.0 | 1797 | 0.8231 |
| 0.7709 | 4.0 | 2396 | 0.8667 |
| 0.7385 | 5.0 | 2995 | 0.8711 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2