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longformer-finetuned-charity-ner-v1.2-ideal-dataset – AI Model by pateljoy130 | AlphaNeural AI
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longformer-finetuned-charity-ner-v1.2-ideal-dataset
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transformers
tensorboard
safetensors
longformer
token-classification
generated_from_trainer
allenai/longformer-base-4096
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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longformer-finetuned-charity-ner-v1.2-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: 0.0267
Precision: 0.7182
Recall: 0.7182
F1: 0.7182
Accuracy: 0.9935
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0347
1.0
897
0.0216
0.5872
0.7072
0.6416
0.9927
0.0091
2.0
1794
0.0233
0.7446
0.7569
0.7507
0.9935
0.0058
3.0
2691
0.0267
0.7182
0.7182
0.7182
0.9935
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
