roberta-large_spell_5k_2_p3

stuartmesham/roberta-large_spell_5k_2_p3

roberta-large_spell_5k_2_p3 is a token classification model from stuartmesham. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: roberta
Access: Public
Created: Oct 24, 2022
Updated: Oct 24, 2022
SHA: 11e8c47c

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Model card

From the Hugging Face model README

roberta-large_spell_5k_2_p3

This model is a fine-tuned version of model_saves/roberta-large_spell_5k_2_p2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4261
Accuracy: 0.9404

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: 1e-05
train_batch_size: 128
eval_batch_size: 128
seed: 52
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	268	0.4261	0.9404
No log	2.0	536	0.4447	0.9402
No log	3.0	804	0.4736	0.9395
0.2895	4.0	1072	0.5212	0.9382

Framework versions

Transformers 4.21.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: roberta
Created: Oct 24, 2022
Updated: Oct 24, 2022