metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: kgpt2
results: []
kgpt2
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7114
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2631 | 1.0 | 8 | 2.1033 |
| 2.1285 | 2.0 | 16 | 1.9838 |
| 2.0715 | 3.0 | 24 | 1.9079 |
| 2.0995 | 4.0 | 32 | 1.8528 |
| 2.0271 | 5.0 | 40 | 1.8074 |
| 1.9592 | 6.0 | 48 | 1.7816 |
| 1.9125 | 7.0 | 56 | 1.7446 |
| 1.9205 | 8.0 | 64 | 1.7277 |
| 1.8993 | 9.0 | 72 | 1.7178 |
| 1.8994 | 10.0 | 80 | 1.7114 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3