metadata
tags:
- generated_from_trainer
datasets:
- xlcost-text-to-code
model-index:
- name: flan-t5-xl-codeparrot-xlcost-text-to-code
results: []
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 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