SolExplain – AI Model by Pipper | AlphaNeural AI

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Pipper/
SolExplain

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text2text-generation

generated_from_trainer

Salesforce/codet5p-220m

text-generation-inference

endpoints_compatible

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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