This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the APIGen-MT-5k dataset. It achieves the following results on the evaluation set:

Loss: 0.1856

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: 5e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2397	0.1721	100	0.2792
0.245	0.3442	200	0.2392
0.3321	0.5164	300	0.2204
0.1962	0.6885	400	0.1988
0.1614	0.8606	500	0.1872

Framework versions

Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3

lemonhat/Llama-3.1-8B-Instruct-APIGen-MT-5k

APIGen-MT-5k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lemonhat/
Llama-3.1-8B-Instruct-APIGen-MT-5k