bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY – AI Model by jonas-luehrs | AlphaNeural AI

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jonas-luehrs/
bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY

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text-classification

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jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE

autotrain_compatible

endpoints_compatible

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bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY

This model is a fine-tuned version of jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5837
Accuracy: 0.7702

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: 42
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	Accuracy
1.204	1.0	46	0.9131	0.6832
0.7606	2.0	92	0.6950	0.7391
0.5421	3.0	138	0.6210	0.7453
0.3908	4.0	184	0.5870	0.7578
0.3206	5.0	230	0.5837	0.7702

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3