This model is a fine-tuned version of Qwen/Qwen2-0.5B on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 1.5327

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 8
total_train_batch_size: 192
total_eval_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.526	0.9993	1258	1.5327

Framework versions

Transformers 4.42.0
Pytorch 2.3.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

yinmingzhang/qwen2-0.5b-sft

qwen2-0.5b-sft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yinmingzhang/
qwen2-0.5b-sft