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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gbert-large |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gbert-large |
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This model is a fine-tuned version of deepset/gbert-large |
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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) |
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- Loss: 2.1519 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.7515 | 1.0 | 2481 | 2.5493 | |
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| 2.5626 | 2.0 | 4962 | 2.4392 | |
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| 2.4839 | 3.0 | 7443 | 2.3692 | |
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| 2.4082 | 4.0 | 9924 | 2.3425 | |
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| 2.3109 | 5.0 | 12405 | 2.2934 | |
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| 2.2551 | 6.0 | 14886 | 2.2582 | |
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| 2.2154 | 7.0 | 17367 | 2.2062 | |
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| 2.2003 | 8.0 | 19848 | 2.1962 | |
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| 2.1616 | 9.0 | 22329 | 2.1991 | |
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| 2.1462 | 10.0 | 24810 | 2.1519 | |
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### Framework versions |
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- Transformers 4.19.4 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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