roberta-large-finetuned-chunking – AI Model by mariolinml | AlphaNeural AI

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mariolinml/
roberta-large-finetuned-chunking

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-large-finetuned-chunking

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4192
Precision: 0.3222
Recall: 0.3161
F1: 0.3191
Accuracy: 0.8632

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0373	1.0	2498	0.9545	0.3166	0.2545	0.2822	0.8656
0.0045	2.0	4996	1.1324	0.2667	0.3142	0.2885	0.8525
0.0022	3.0	7494	1.3138	0.3349	0.3097	0.3218	0.8672
0.0015	4.0	9992	1.3454	0.3261	0.3260	0.3260	0.8647
0.0014	5.0	12490	1.3640	0.3064	0.3126	0.3095	0.8603
0.0008	6.0	14988	1.4192	0.3222	0.3161	0.3191	0.8632

Framework versions

Transformers 4.20.0
Pytorch 1.11.0
Datasets 2.3.2
Tokenizers 0.12.1