This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3415

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: 0.001
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
2.688	1.0	1	2.7638
2.275	2.0	2	2.2309
1.8141	3.0	3	1.9247
1.4948	4.0	4	1.6327
1.2029	5.0	5	1.4417
0.9743	6.0	6	1.3415

Framework versions

Transformers 4.33.0
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.13.3

Zintoulou/finetuningqvk1

finetuningqvk1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Zintoulou/
finetuningqvk1