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distilroberta-base-finetuned-evm-opcodes
Fixedbot/distilroberta-base-finetuned-evm-opcodes
distilroberta-base-finetuned-evm-opcodes is a fill-mask model from Fixedbot. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 5, 2024
- SHA
- 3e540cc4
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Mar 4, 2024
- Updated
- Mar 5, 2024