HW2-supervised
This model is a fine-tuned version of openai-community/gpt2 on the piqa dataset. It achieves the following results on the evaluation set:
- Loss: 2.9822
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2637 | 0.9991 | 805 | 3.0219 |
| 3.0283 | 1.9994 | 1611 | 2.9898 |
| 2.964 | 2.9972 | 2415 | 2.9822 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.19.1
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Model tree for LouisSanna/HW2-supervised
Base model
openai-community/gpt2