metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: distilgpt2
model-index:
- name: distilgpt2-finetuned
results: []
distilgpt2-finetuned
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9883
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: 0.0002
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4702 | 1.0 | 3359 | 2.2441 |
| 2.2416 | 2.0 | 6718 | 2.0566 |
| 2.156 | 3.0 | 10077 | 1.9883 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2