SolExplain

This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2952

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: 0.0001
• train_batch_size: 10
• eval_batch_size: 10
• seed: 100
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 40
• total_eval_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.658	1.0	19184	0.5830
0.5403	2.0	38368	0.4988
0.48	3.0	57552	0.4473
0.4282	4.0	76736	0.4124
0.3918	5.0	95920	0.3857
0.3464	6.0	115104	0.3650
0.3222	7.0	134288	0.3503
0.3007	8.0	153472	0.3357
0.2782	9.0	172656	0.3269
0.2562	10.0	191840	0.3184
0.2386	11.0	211024	0.3101
0.2196	12.0	230208	0.3020
0.2042	13.0	249392	0.3005
0.1931	14.0	268576	0.2971
0.1734	15.0	287760	0.2952

Framework versions

• Transformers 4.33.0
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.13.3