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litbank-coref-mem-base-triple – AI Model by eddieman78 | AlphaNeural AI
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litbank-coref-mem-base-triple
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safetensors
t5
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
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litbank-coref-mem-base-triple
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset.
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.15.1
