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---
license: mit
base_model: xlnet-base-cased
tags:
- Text Generation
- generated_from_trainer
model-index:
- name: xLNet-finetuned-cXg-nl-to-code
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xLNet-finetuned-cXg-nl-to-code
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/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
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