This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_slim_orca dataset. It achieves the following results on the evaluation set:

Loss: 0.6041

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
0.6135	1.0	154	0.6165
0.5737	2.0	308	0.6043
0.5313	3.0	462	0.6041

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.2
Tokenizers 0.19.1

RichardErkhov/mlfoundations-dev_-_oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_slim_orca-4bits

Original model description:

oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_slim_orca

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_slim_orca-4bits