This model is a fine-tuned version of EleutherAI/pythia-410m on the allenai/tulu-v2-sft-mixture dataset. It achieves the following results on the evaluation set:

Loss: 1.2142

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: 16
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6351	0.9999	2548	1.4234
1.3173	1.9998	5096	1.2321
1.1209	2.9997	7644	1.2142

Framework versions

Transformers 4.44.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.19.1

kykim0/pythia-410m-tulu-v2-mix

pythia-410m-tulu-v2-mix

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kykim0/
pythia-410m-tulu-v2-mix