shakespearean-lm
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4100
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 4.9075 | 0.53 | 500 | 4.6423 |
| 4.6274 | 1.06 | 1000 | 4.5136 |
| 4.4057 | 1.59 | 1500 | 4.4582 |
| 4.3596 | 2.12 | 2000 | 4.4350 |
| 4.2589 | 2.65 | 2500 | 4.4163 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Inference Providers
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Model tree for perceptron-743/shakespearean-lm
Base model
distilbert/distilgpt2