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patentClassificationLongFormer – AI Model by eclec | AlphaNeural AI
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eclec
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patentClassificationLongFormer
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transformers
pytorch
longformer
text-classification
generated_from_trainer
allenai/longformer-large-4096
finetune
endpoints_compatible
us
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patentClassificationLongFormer
This model is a fine-tuned version of
allenai/longformer-large-4096
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6186
Accuracy: 0.6753
F1: 0.6783
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: 1.4489735300181872e-05
train_batch_size: 8
eval_batch_size: 8
seed: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 240
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.666
1.0
4438
0.6336
0.6491
0.6802
0.6063
2.0
8876
0.6186
0.6753
0.6783
0.5543
3.0
13314
0.6192
0.6762
0.6908
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3
