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longformer-normaladam-1024 – AI Model by ajdsouza | AlphaNeural AI
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ajdsouza
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longformer-normaladam-1024
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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-normaladam-1024
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: 0.0150
Recall: 1.0
Precision: 0.9714
F5: 0.9989
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: 2
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Recall
Precision
F5
0.0027
1.0
400
0.0165
1.0
0.9714
0.9989
0.0047
2.0
800
0.0150
1.0
0.9714
0.9989
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
