distilgpt2-finetuned-evm-opcodes
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6776
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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9382 | 1.0 | 2967 | 0.8282 |
| 0.7977 | 2.0 | 5934 | 0.7372 |
| 0.7436 | 3.0 | 8901 | 0.6976 |
| 0.7268 | 4.0 | 11868 | 0.6849 |
| 0.7065 | 5.0 | 14835 | 0.6776 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Fixedbot/distilgpt2-finetuned-evm-opcodes
Base model
distilbert/distilgpt2