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gechim/
PhobertLexicalMeta

Name: PhobertLexicalMeta
Rating: 2.5 (5 reviews)

transformers

safetensors

generated_from_trainer

gechim/metadata-cls-no-gov-8k-v3

finetune

endpoints_compatible

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PhobertLexicalMeta

This model is a fine-tuned version of gechim/metadata-cls-no-gov-8k-v3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0927
Accuracy: 0.9792
F1: 0.9664

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1701	1.9608	200	0.0936	0.9741	0.9575
0.0537	3.9216	400	0.0780	0.9780	0.9647
0.0252	5.8824	600	0.0762	0.9805	0.9687
0.016	7.8431	800	0.0996	0.9780	0.9640
0.0098	9.8039	1000	0.0927	0.9792	0.9664

Framework versions

Transformers 4.43.1
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

gechim/PhobertLexicalMeta

PhobertLexicalMeta

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gechim/
PhobertLexicalMeta