metadata
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta_nbx_all_l
results: []
roberta_nbx_all_l
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4231
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4142 | 1.0 | 1949 | 0.3892 |
| 0.0962 | 2.0 | 3898 | 0.3523 |
| 0.2092 | 3.0 | 5847 | 0.3674 |
| 0.2436 | 4.0 | 7796 | 0.3654 |
| 0.0776 | 5.0 | 9745 | 0.3609 |
| 0.1534 | 6.0 | 11694 | 0.3578 |
| 0.0653 | 7.0 | 13643 | 0.4346 |
| 0.0016 | 8.0 | 15592 | 0.3912 |
| 0.0267 | 9.0 | 17541 | 0.4162 |
| 0.0551 | 10.0 | 19490 | 0.4231 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.19.2
- Tokenizers 0.15.0