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metadata
tags:
  - generated_from_trainer
model-index:
  - name: Report_GPT2-finetuned-financial_data
    results: []

Report_GPT2-finetuned-financial_data

This model is a fine-tuned version of uer/gpt2-chinese-cluecorpussmall on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6619

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.7034 1.0 3818 1.6879
1.6278 2.0 7636 1.6694
1.596 3.0 11454 1.6619

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.9.0
  • Tokenizers 0.13.2