This model is a fine-tuned version of ibm-granite/granite-8b-code-instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.8823

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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1877	0.1	100	0.6620
0.0784	0.2	200	0.6879
0.0552	0.3	300	0.7506
0.0607	0.4	400	0.8319
0.049	0.51	500	0.8430
0.0485	0.61	600	0.8774
0.0448	0.71	700	0.8839
0.0478	0.81	800	0.8807
0.0472	0.91	900	0.8823

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2

VictorDCh/granite-8b-code-instruct-spider

granite-8b-code-instruct-spider

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

VictorDCh/
granite-8b-code-instruct-spider