qwen_answer – AI Model by Leon97ZJU | AlphaNeural AI

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Leon97ZJU/
qwen_answer

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text-generation

generated_from_trainer

Qwen/Qwen2.5-7B

autotrain_compatible

text-generation-inference

endpoints_compatible

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qwen

This model is a fine-tuned version of /inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/Qwen/Qwen2.5-7B on the 2wikimultihopqa_train, the hotpotqa_train and the musique_train datasets. It achieves the following results on the evaluation set:

Loss: 0.1587

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: 7e-06
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 8
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1713	0.3842	500	0.1614
0.1549	0.7685	1000	0.1432
0.0948	1.1527	1500	0.1415
0.0846	1.5370	2000	0.1369
0.0841	1.9212	2500	0.1317
0.0375	2.3055	3000	0.1596
0.0366	2.6897	3500	0.1586

Framework versions

Transformers 4.46.1
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3