metadata
base_model: openai-community/gpt2
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2966
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8627 | 0.7874 | 100 | 2.6546 |
| 3.4548 | 1.5748 | 200 | 2.5430 |
| 3.7072 | 2.3622 | 300 | 2.2966 |
Framework versions
- PEFT 0.7.1
- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1