This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:

Loss: 2.5144

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 1080

Training results

Training Loss	Epoch	Step	Validation Loss
0.193	4.0775	500	1.6843
0.0083	8.1549	1000	2.4750

Framework versions

Transformers 4.45.0
Pytorch 2.2.0+cu121
Datasets 2.21.0
Tokenizers 0.20.0

Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-Adam-mini

output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Syed-Hasan-8503/
Qwen2.5-1.5B-Instruct-Adam-mini