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baseline_longformerv1 – AI Model by brad1141 | AlphaNeural AI
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brad1141
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baseline_longformerv1
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transformers
pytorch
tensorboard
longformer
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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baseline_longformerv1
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: 1.7596
Precision: 0.1333
Recall: 0.15
F1: 0.1400
Accuracy: 0.1400
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
1.8469
0.89
1
1.7596
0.1333
0.15
0.1400
0.1400
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
