my_awesome_qa_model / README.md
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metadata
base_model: nghuyong/ernie-1.0-base-zh
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_qa_model
    results: []

my_awesome_qa_model

This model is a fine-tuned version of nghuyong/ernie-1.0-base-zh on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0130

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: 16
  • eval_batch_size: 16
  • seed: 42
  • 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
1.2519 1.0 1684 1.0958
0.9276 2.0 3368 1.0158
0.7311 3.0 5052 1.0130

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0