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reformer-finetuned-big_patent-16384 – AI Model by robingeibel | AlphaNeural AI
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reformer-finetuned-big_patent-16384
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transformers
pytorch
tensorboard
reformer
fill-mask
generated_from_trainer
big_patent
autotrain_compatible
endpoints_compatible
us
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reformer-finetuned-big_patent-16384
This model is a fine-tuned version of
robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384
on the big_patent dataset. It achieves the following results on the evaluation set:
Loss: 6.7382
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: 2.5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.7398
1.0
53286
6.7243
6.7449
2.0
106572
6.7388
6.7534
3.0
159858
6.7382
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
