Gregariousness_continuous – AI Model by ajrayman | AlphaNeural AI

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ajrayman/
Gregariousness_continuous

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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Gregariousness_continuous

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0638
Rmse: 0.2526
Mae: 0.2054
Corr: 0.2172

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: 32
eval_batch_size: 32
seed: 1234
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Mae	Corr
No log	1.0	235	0.0594	0.2437	0.2017	0.2555
No log	2.0	470	0.0589	0.2426	0.2003	0.2510
0.0707	3.0	705	0.0589	0.2426	0.2001	0.2406
0.0707	4.0	940	0.0585	0.2418	0.1973	0.2579
0.058	5.0	1175	0.0604	0.2457	0.1991	0.2575
0.058	6.0	1410	0.0638	0.2526	0.2054	0.2172

Framework versions

Transformers 4.44.1
Pytorch 1.11.0
Datasets 2.12.0
Tokenizers 0.19.1