bert_base_train_book_ent_15p_inv_stsb – AI Model by gokulsrinivasagan | AlphaNeural AI

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gokulsrinivasagan/
bert_base_train_book_ent_15p_inv_stsb

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text-classification

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gokulsrinivasagan/bert_base_train_book_ent_15p_inv

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bert_base_train_book_ent_15p_inv_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_inv on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 2.2587
Pearson: 0.1714
Spearmanr: 0.1572
Combined Score: 0.1643

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-05
train_batch_size: 256
eval_batch_size: 256
seed: 10
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
2.6428	1.0	23	2.4753	0.1186	0.0982	0.1084
1.9768	2.0	46	2.2587	0.1714	0.1572	0.1643
1.7111	3.0	69	2.3172	0.2174	0.2105	0.2140
1.3491	4.0	92	2.4197	0.2657	0.2629	0.2643
0.9597	5.0	115	2.3669	0.2849	0.2844	0.2847
0.7151	6.0	138	2.4566	0.2771	0.2781	0.2776
0.5171	7.0	161	2.5672	0.3001	0.2950	0.2975

Framework versions

Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3