longformer-finetuned-charity-ner-v1.3-ideal-dataset – AI Model by pateljoy130 | AlphaNeural AI

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pateljoy130/
longformer-finetuned-charity-ner-v1.3-ideal-dataset

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token-classification

generated_from_trainer

allenai/longformer-base-4096

autotrain_compatible

endpoints_compatible

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longformer-finetuned-charity-ner-v1.3-ideal-dataset

This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0071
Precision: 0.8314
Recall: 0.8720
F1: 0.8512
Accuracy: 0.9985

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: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 350
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1364	0.5025	500	0.0097	0.6758	0.75	0.7110	0.9972
0.0201	1.0050	1000	0.0097	0.7253	0.8049	0.7630	0.9971
0.0131	1.5075	1500	0.0077	0.7882	0.8171	0.8024	0.9982
0.0153	2.0101	2000	0.0064	0.8402	0.8659	0.8529	0.9983
0.0078	2.5126	2500	0.0071	0.8314	0.8720	0.8512	0.9985

Framework versions

Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2