metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilgpt2
model-index:
- name: distilgpt2-finetuned-wikitext2_Reddy_2
results: []
distilgpt2-finetuned-wikitext2_Reddy_2
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.2439
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 |
---|---|---|---|
6.5293 | 1.0 | 2406 | 6.4321 |
6.279 | 2.0 | 4812 | 6.2843 |
6.212 | 3.0 | 7218 | 6.2439 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2