bert-large-token-classification – AI Model by Vishveshwara | AlphaNeural AI

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Vishveshwara/
bert-large-token-classification

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FacebookAI/roberta-large

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bert-large-token-classification

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

Loss: 0.2157
Precision: 0.4271
Recall: 0.5155
F1: 0.4671
Accuracy: 0.9481

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: 0.001
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3642	1.0	741	0.2888	0.2211	0.2315	0.2262	0.9264
0.2508	2.0	1482	0.2862	0.3301	0.3645	0.3465	0.9217
0.1609	3.0	2223	0.2247	0.3109	0.4309	0.3612	0.9411
0.1404	4.0	2964	0.2391	0.3563	0.4669	0.4042	0.9303
0.0937	5.0	3705	0.2157	0.4271	0.5155	0.4671	0.9481

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1