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metadata
license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
model-index:
  - name: hupd_mlm_distilroberta
    results: []

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