distilgpt2_eli5
This model is a fine-tuned version of distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.8108
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 |
|---|---|---|---|
| 3.9482 | 1.0 | 1301 | 3.8215 |
| 3.8513 | 2.0 | 2602 | 3.8117 |
| 3.8231 | 3.0 | 3903 | 3.8108 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for vignesh225/distilgpt2_eli5
Base model
distilbert/distilgpt2