metadata
license: mit
base_model: deepset/gbert-base
tags:
- generated_from_trainer
model-index:
- name: gbert-job-extended
results: []
gbert-job-extended
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: 1.7968
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1502 | 1.0 | 7894 | 2.0106 |
| 1.9626 | 2.0 | 15788 | 1.8397 |
| 1.8999 | 3.0 | 23682 | 1.7968 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2