gpt2-medium-dutch-finetuned-text-generation
This model is a fine-tuned version of GroNLP/gpt2-medium-dutch-embeddings on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9268
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 394 | 4.0144 |
| 3.3633 | 2.0 | 788 | 3.9379 |
| 2.7108 | 3.0 | 1182 | 3.9268 |
Framework versions
- Transformers 4.9.0
- Pytorch 1.9.0+cu102
- Datasets 1.10.2
- Tokenizers 0.10.3
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