File size: 1,431 Bytes
cdc74fe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
base_model: microsoft/codebert-base
tags:
- Text Generation
- generated_from_trainer
model-index:
- name: codeBert-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. -->
# codeBert-finetuned-cXg-nl-to-code
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co./microsoft/codebert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 18.2530
- eval_rouge1: 0.0557
- eval_rouge2: 0.0041
- eval_rougeL: 0.0397
- eval_bleu: 0.8313
- eval_meteor: 0.0884
- eval_codebleu: 0.2407
- eval_runtime: 150.2026
- eval_samples_per_second: 0.067
- eval_steps_per_second: 0.013
- 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: 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
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|