MIA-GPT2-WikiText-Fine-Tuned-V2
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: 3.8904
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.4637 | 1.0 | 625 | 3.4640 |
| 3.288 | 2.0 | 1250 | 3.4729 |
| 3.0629 | 3.0 | 1875 | 3.4997 |
| 2.7975 | 4.0 | 2500 | 3.5464 |
| 2.6186 | 5.0 | 3125 | 3.6151 |
| 2.5118 | 6.0 | 3750 | 3.6777 |
| 2.4292 | 7.0 | 4375 | 3.7423 |
| 2.2772 | 8.0 | 5000 | 3.8122 |
| 2.2044 | 9.0 | 5625 | 3.8602 |
| 2.1637 | 10.0 | 6250 | 3.8904 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.11.0
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Model tree for mia-llm/MIA-GPT2-WikiText-Fine-Tuned-V2
Base model
openai-community/gpt2