<!-- 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. -->
gbert-base-MLM-eu-or-ddr
This model is a fine-tuned version of deepset/gbert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3578
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 1.9428 | 1.0 | 403 | 1.5950 |
| 1.6342 | 2.0 | 806 | 1.4453 |
| 1.5324 | 3.0 | 1209 | 1.3751 |
| 1.4729 | 4.0 | 1612 | 1.3533 |
| 1.4536 | 5.0 | 2015 | 1.3389 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
