metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: finetuned_RoBERTa
results: []
finetuned_RoBERTa
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0025 | 1.0 | 177 | 0.0011 |
| 0.0005 | 2.0 | 354 | 0.0002 |
| 0.0002 | 3.0 | 531 | 0.0001 |
| 0.0001 | 4.0 | 708 | 0.0001 |
| 0.0001 | 5.0 | 885 | 0.0001 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1