finetuned_sol

This model is a fine-tuned version of ckandemir/solidity-generator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2695

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-05
• train_batch_size: 26
• eval_batch_size: 26
• seed: 100
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 104
• total_eval_batch_size: 104
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.3698	1.0	33010	0.3371
0.3292	2.0	66020	0.2977
0.3067	3.0	99030	0.2782
0.2956	4.0	132040	0.2695

Framework versions

• Transformers 4.33.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.7
• Tokenizers 0.13.3