email_answer_extraction – AI Model by arya555 | AlphaNeural AI

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arya555/
email_answer_extraction

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token-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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email_answer_extraction

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0388
Precision: 0.3571
Recall: 0.5769
F1: 0.4412
Accuracy: 0.9859

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4874	1.0	32	0.0956	0.0339	0.0769	0.0471	0.9714
0.1951	2.0	64	0.0448	0.2115	0.4231	0.2821	0.9829
0.1086	3.0	96	0.0384	0.3556	0.6154	0.4507	0.9857
0.0552	4.0	128	0.0388	0.3571	0.5769	0.4412	0.9859

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.16.0
Tokenizers 0.15.0