kazuma313/code-instruct-facebook-opt-350m

results

This model is a fine-tuned version of facebook/opt-350m on CodeAlpaca-20k with 601 rows.

Model description

More information needed

Intended uses & limitations

• this use only 601 data from CodeAlpaca-20k so need to train further.
• use tag "### Question: " for asking/instruct and it will generate "### Answer: " for inference.
• the dataset is about coding with various languages, so need to train with specify programming language.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2