metadata
base_model: openai-community/gpt2
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-arc-pfet
results: []
gpt2-arc-pfet
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: 3.2118
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2 | 1 | 3.2720 |
| No log | 0.4 | 2 | 3.2471 |
| No log | 0.6 | 3 | 3.2292 |
| No log | 0.8 | 4 | 3.2174 |
| 3.6061 | 1.0 | 5 | 3.2118 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Tokenizers 0.20.0