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kghanlon/roberta-base-finetuned-MP-unannotated-half-frozen-v1-RILE-v1_fully_frozen

sourceHugging Faceupdated 3y agoView on Hugging Face

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roberta-base-finetuned-MP-unannotated-half-frozen-v1-RILE-v1fullyfrozen

This model is a fine-tuned version of kghanlon/roberta-base-finetuned-MP-unannotated-half-frozen-v1 on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 0.8528
—Accuracy: 0.6065
—Recall: 0.6065
—F1: 0.5899

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: 5e-06
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	F1
0.9254	1.0	15490	0.9312	0.5625	0.5625	0.5086
0.9022	2.0	30980	0.8798	0.5949	0.5949	0.5733
0.8869	3.0	46470	0.8627	0.6005	0.6005	0.5813
0.8816	4.0	61960	0.8552	0.6050	0.6050	0.5873
0.889	5.0	77450	0.8528	0.6065	0.6065	0.5899

Framework versions

—Transformers 4.35.2
—Pytorch 2.1.0+cu121
—Datasets 2.16.0
—Tokenizers 0.15.0