This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 1.0320

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: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0317	0.9995	555	1.0397
0.9698	1.9991	1110	1.0320

Framework versions

Transformers 4.44.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.19.1

kykim0/codellama-7b-ultrachat

codellama-7b-ultrachat

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kykim0/
codellama-7b-ultrachat