Qwen-7B-instruct-3-apps-6k – AI Model by cutelemonlili | AlphaNeural AI | AlphaNeural AI

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cutelemonlili/
Qwen-7B-instruct-3-apps-6k

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text-generation

generated_from_trainer

Qwen/Qwen2.5-7B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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3-apps-6k

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the 3-apps-6k dataset. It achieves the following results on the evaluation set:

Loss: 0.1649

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
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2265	0.0728	100	0.2100
0.1826	0.1457	200	0.1998
0.1791	0.2185	300	0.1973
0.1888	0.2913	400	0.1918
0.1587	0.3642	500	0.1920
0.1508	0.4370	600	0.1843
0.1652	0.5098	700	0.1804
0.1532	0.5827	800	0.1774
0.123	0.6555	900	0.1715
0.1423	0.7283	1000	0.1691
0.1943	0.8012	1100	0.1680
0.1361	0.8740	1200	0.1662
0.1475	0.9468	1300	0.1649

Framework versions

Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3