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hupd_mlm_distilroberta – AI Model by cfcooney | AlphaNeural AI
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cfcooney
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hupd_mlm_distilroberta
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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hupd_mlm_distilroberta
This model is a fine-tuned version of
distilroberta-base
on the [HUPD][
https://huggingface.co/datasets/HUPD/hupd
] patent dataset. It achieves the following results on the evaluation set:
Loss: 1.1515
Perplexity: 3.16
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: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.374
1.0
2019
1.2304
1.2925
2.0
4039
1.1793
1.2599
3.0
6057
1.1529
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
