metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-cybernative
results: []
distilgpt2-finetuned-cybernative
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0447
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 |
|---|---|---|---|
| 3.2353 | 1.0 | 12759 | 3.2105 |
| 3.0855 | 2.0 | 25518 | 3.0827 |
| 3.0183 | 3.0 | 38277 | 3.0447 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2.post301
- Datasets 2.16.0
- Tokenizers 0.15.2