long_llama_7b_env

This model is a fine-tuned version of syzymon/long_llama_code_7b_instruct on an unknown 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: 1e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• training_steps: 100

Training results

Framework versions

• Transformers 4.30.0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.12.1