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longformer-coherence-synthetic-classifier – AI Model by lenguist | AlphaNeural AI
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lenguist
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longformer-coherence-synthetic-classifier
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transformers
tensorboard
safetensors
longformer
text-classification
generated_from_trainer
allenai/longformer-base-4096
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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longformer-coherence-synthetic-classifier
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: 0.0289
Accuracy: 0.9945
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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0646
1.0
2000
0.0289
0.9945
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
