This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the HuggingFaceH4/deita-6k-v0-sft dataset. It achieves the following results on the evaluation set:

Loss: 1.0886

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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0963	1.0	237	1.0788
0.9779	2.0	474	1.0728
0.8734	3.0	711	1.0886

Framework versions

Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

trl-lib/qwen1.5-1.8b-sft

qwen-1.5-1.8b-sft-v0.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

trl-lib/
qwen1.5-1.8b-sft