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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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2_lora_instruction
This model is a fine-tuned version of [gpt2](https://huggingface.co/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 |