|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- xlcost-text-to-code |
|
model-index: |
|
- name: flan-t5-xl-codeparrot-xlcost-text-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. --> |
|
|
|
# flan-t5-xl-codeparrot-xlcost-text-to-code |
|
|
|
This model is a fine-tuned version of [epinnock/flan-t5-small-codeparrot-xlcost-text-to-code](https://huggingface.co./epinnock/flan-t5-small-codeparrot-xlcost-text-to-code) on the xlcost-text-to-code dataset. |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 32 |
|
- total_train_batch_size: 256 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| No log | 1.0 | 355 | 2.9377 | 34.6407 | 17.8339 | 33.3467 | 33.3488 | 10.7369 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- Pytorch 1.12.0+cu116 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.12.1 |
|
|
