data2vec-text-base-finetuned-stsb – AI Model by mrm8488 | AlphaNeural AI

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mrm8488/
data2vec-text-base-finetuned-stsb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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data2vec-text-base-finetuned-stsb

This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.5530
Pearson: 0.8732
Spearmanr: 0.8717

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: 7.725353773731373e-05
train_batch_size: 32
eval_batch_size: 16
seed: 5
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr
No log	1.0	180	1.0650	0.8102	0.8380
No log	2.0	360	0.6211	0.8524	0.8497
0.9312	3.0	540	0.5917	0.8640	0.8642
0.9312	4.0	720	0.5672	0.8695	0.8686
0.9312	5.0	900	0.5530	0.8732	0.8717

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1