<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
roberta-base-lm-all
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7109
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2966 | 1.0 | 1194 | 1.0711 |
| 1.0858 | 2.0 | 2388 | 0.9740 |
| 1.0055 | 3.0 | 3582 | 0.9273 |
| 0.9301 | 4.0 | 4776 | 0.8784 |
| 0.9021 | 5.0 | 5970 | 0.8731 |
| 0.8479 | 6.0 | 7164 | 0.8406 |
| 0.8142 | 7.0 | 8358 | 0.8172 |
| 0.7858 | 8.0 | 9552 | 0.8158 |
| 0.7529 | 9.0 | 10746 | 0.7922 |
| 0.7189 | 10.0 | 11940 | 0.7855 |
| 0.7032 | 11.0 | 13134 | 0.7761 |
| 0.6795 | 12.0 | 14328 | 0.7549 |
| 0.6673 | 13.0 | 15522 | 0.7277 |
| 0.6412 | 14.0 | 16716 | 0.7121 |
| 0.6321 | 15.0 | 17910 | 0.7168 |
| 0.6198 | 16.0 | 19104 | 0.7109 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
