finetuned_sol / README.md
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training solidity generator11/16/2023, 14:04:45
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---
license: apache-2.0
base_model: ckandemir/solidity-generator
tags:
- generated_from_trainer
model-index:
- name: finetuned_sol
results: []
---
<!-- 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. -->
# finetuned_sol
This model is a fine-tuned version of [ckandemir/solidity-generator](https://huggingface.co/ckandemir/solidity-generator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9415
## 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: 7e-06
- train_batch_size: 40
- eval_batch_size: 40
- seed: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 3 | 3.6609 |
| No log | 2.0 | 6 | 3.4262 |
| No log | 3.0 | 9 | 3.2868 |
| No log | 4.0 | 12 | 3.1867 |
| No log | 5.0 | 15 | 3.1092 |
| No log | 6.0 | 18 | 3.0489 |
| No log | 7.0 | 21 | 3.0032 |
| No log | 8.0 | 24 | 2.9704 |
| No log | 9.0 | 27 | 2.9497 |
| No log | 10.0 | 30 | 2.9415 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3