metadata

license: llama2
base_model: codellama/Codellama-7b-Instruct-hf
tags:
  - generated_from_trainer
model-index:
  - name: codellama-7b-sft-lora-func-names
    results: []

codellama-7b-sft-lora-func-names

This model is a fine-tuned version of codellama/Codellama-7b-Instruct-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2840

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.2727	0.33	1	1.2840

Framework versions

Transformers 4.35.0
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.14.1