flan-t5-xl-codeparrot-xlcost-text-to-code
This model is a fine-tuned version of epinnock/flan-t5-xl-codeparrot-xlcost-text-to-code on the xlcost-text-to-code dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.9876
- eval_rouge1: 43.1227
- eval_rouge2: 25.6539
- eval_rougeL: 41.8635
- eval_rougeLsum: 41.8883
- eval_gen_len: 9.0445
- eval_runtime: 1137.2469
- eval_samples_per_second: 7.17
- eval_steps_per_second: 0.897
- 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 144
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1