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

Loss: 0.9010

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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
total_train_batch_size: 512
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1738
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.9018	1.0	423	0.9103
0.8586	2.0	846	0.9001
0.8143	3.0	1269	0.9010

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/mlfoundations-dev_-_llama3-1_8b_baseline_infinity_instruct-8bits

Original model description:

llama3-1_8b_baseline_infinity_instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_llama3-1_8b_baseline_infinity_instruct-8bits