distilroberta-base-finetuned-evm-opcodes
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2409
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 |
|---|---|---|---|
| 0.4552 | 1.0 | 3090 | 0.4073 |
| 0.3499 | 2.0 | 6180 | 0.3212 |
| 0.3095 | 3.0 | 9270 | 0.2798 |
| 0.2778 | 4.0 | 12360 | 0.2650 |
| 0.2637 | 5.0 | 15450 | 0.2573 |
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/distilroberta-base-finetuned-evm-opcodes
Base model
distilbert/distilroberta-base