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my_awesome_opus_books_model

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metadata
license: mit
base_model: baidu/ernie-code-560m
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: my_awesome_opus_books_model
    results: []

my_awesome_opus_books_model

This model is a fine-tuned version of baidu/ernie-code-560m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Bleu: 1.202
  • Gen Len: 17.9792

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.0 1.0 6354 nan 1.202 17.9792
0.0 2.0 12708 nan 1.202 17.9792

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1