| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: gbert-large |
| | results: [] |
| | --- |
| | |
| | <!-- 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-large |
| |
|
| | This model is a fine-tuned version of deepset/gbert-large |
| |
|
| | It was fine-tuned on poetry from Projekt Gutenberg in order to do masked language modeling tasks in poetry generation (synonym creation for rythm and to find rhyming pairs) |
| |
|
| | - Loss: 2.1519 |
| |
|
| | ## 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: 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: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 2.7515 | 1.0 | 2481 | 2.5493 | |
| | | 2.5626 | 2.0 | 4962 | 2.4392 | |
| | | 2.4839 | 3.0 | 7443 | 2.3692 | |
| | | 2.4082 | 4.0 | 9924 | 2.3425 | |
| | | 2.3109 | 5.0 | 12405 | 2.2934 | |
| | | 2.2551 | 6.0 | 14886 | 2.2582 | |
| | | 2.2154 | 7.0 | 17367 | 2.2062 | |
| | | 2.2003 | 8.0 | 19848 | 2.1962 | |
| | | 2.1616 | 9.0 | 22329 | 2.1991 | |
| | | 2.1462 | 10.0 | 24810 | 2.1519 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.4 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.2.2 |
| | - Tokenizers 0.12.1 |
| |
|
