metadata
base_model: distilgpt2
datasets:
- eli5_category
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-model
results: []
my_awesome_eli5_clm-model
This model is a fine-tuned version of distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.7706
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8131 | 1.0 | 7169 | 3.8190 |
| 3.7674 | 2.0 | 14338 | 3.7934 |
| 3.7384 | 3.0 | 21507 | 3.7795 |
| 3.7203 | 4.0 | 28676 | 3.7722 |
| 3.705 | 5.0 | 35845 | 3.7706 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.20.0
- Tokenizers 0.15.2