metadata

license: mit
base_model: xlnet-base-cased
tags:
  - Text Generation
  - generated_from_trainer
model-index:
  - name: xLNet-finetuned-cXg-nl-to-code
    results: []

xLNet-finetuned-cXg-nl-to-code

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 20.6526
eval_rouge1: 0.0685
eval_rouge2: 0.0062
eval_rougeL: 0.0550
eval_bleu: 0.8352
eval_meteor: 0.1311
eval_codebleu: 0.2193
eval_runtime: 265.1606
eval_samples_per_second: 0.038
eval_steps_per_second: 0.004
step: 0

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1