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