metadata
library_name: peft
license: mit
base_model: gpt2
tags:
- base_model:adapter:gpt2
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gpt2_lora_instruction
results: []
gpt2_lora_instruction
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.577 | 1.0 | 10530 | 1.5139 |
| 1.5405 | 2.0 | 21060 | 1.4920 |
| 1.4831 | 3.0 | 31590 | 1.4804 |
| 1.5491 | 4.0 | 42120 | 1.4737 |
| 0.0 | 5.0 | 52650 | nan |
| 0.0 | 6.0 | 63180 | nan |
| 0.0 | 7.0 | 73710 | nan |
| 0.0 | 8.0 | 84240 | nan |
| 0.0 | 9.0 | 94770 | nan |
| 0.0 | 10.0 | 105300 | nan |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1