This model is a fine-tuned version of codellama/CodeLlama-34b-Instruct-hf on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.7792

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: 0.0025
train_batch_size: 4
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.3476	0.25	1000	1.3561
1.3274	0.49	2000	1.1683
1.1964	0.74	3000	1.0129
0.8117	0.98	4000	0.9106
0.5179	1.23	5000	0.8560
0.7726	1.48	6000	0.8096
0.7396	1.72	7000	0.7855
0.6125	1.97	8000	0.7792

Framework versions

Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2

seanmemery/CodeLlama-34b-Instruct-Shader-hf

CodeLlama-34b-Instruct-Shader-hf

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

seanmemery/
CodeLlama-34b-Instruct-Shader-hf