metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- eli5_category
base_model: distilbert/distilgpt2
model-index:
- name: eli5_distilgpt
results: []
eli5_distilgpt
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.8251
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 |
|---|---|---|---|
| 3.9573 | 1.0 | 1323 | 3.8356 |
| 3.8591 | 2.0 | 2646 | 3.8269 |
| 3.8181 | 3.0 | 3969 | 3.8251 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2