metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
results: []
distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8908
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: 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 |
|---|---|---|---|
| 0.7267 | 1.0 | 7774 | 7.0874 |
| 0.3752 | 2.0 | 15548 | 7.5818 |
| 0.235 | 3.0 | 23322 | 7.8927 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.3.0.dev20240229
- Datasets 2.18.0
- Tokenizers 0.15.1