GPT2-arithmetic-1-3digits
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1482 | 0.9984 | 156 | nan |
| 0.0902 | 1.9968 | 312 | nan |
| 0.0804 | 2.9952 | 468 | nan |
| 0.0789 | 4.0 | 625 | nan |
| 0.0798 | 4.9984 | 781 | nan |
| 0.0776 | 5.9968 | 937 | nan |
| 0.0773 | 6.9888 | 1092 | nan |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
openai-community/gpt2