metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: diemlnt-distilgpt-eli5-1.0
results: []
diemlnt-distilgpt-eli5-1.0
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: 3.7433
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7897 | 1.0 | 57345 | 3.7975 |
| 3.7281 | 2.0 | 114690 | 3.7734 |
| 3.6851 | 3.0 | 172035 | 3.7623 |
| 3.6543 | 4.0 | 229380 | 3.7541 |
| 3.634 | 5.0 | 286725 | 3.7513 |
| 3.6074 | 6.0 | 344070 | 3.7466 |
| 3.5965 | 7.0 | 401415 | 3.7456 |
| 3.5795 | 8.0 | 458760 | 3.7437 |
| 3.5573 | 9.0 | 516105 | 3.7433 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3