metadata
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-german-cased-MLM-chemistry
results: []
bert-base-german-cased-MLM-chemistry
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1771
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 |
|---|---|---|---|
| 2.1296 | 1.0 | 211 | 1.4955 |
| 1.5071 | 2.0 | 422 | 1.3285 |
| 1.373 | 3.0 | 633 | 1.2512 |
| 1.3002 | 4.0 | 844 | 1.1762 |
| 1.271 | 5.0 | 1055 | 1.2068 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3