metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: openai-community/gpt2-medium
model-index:
- name: finetuned-model
results: []
finetuned-model
This model is a fine-tuned version of openai-community/gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5251
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 |
|---|---|---|---|
| No log | 1.0 | 440 | 0.5692 |
| 0.6344 | 2.0 | 880 | 0.5346 |
| 0.5737 | 3.0 | 1320 | 0.5251 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0