fengn
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llama-factory-test

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train_2024-06-21-11-37-49

This model is a fine-tuned version of /home/models/Qwen1.5-7B on the a1_demo, the a2_demo and the a3_demo datasets.

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 70.0

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Base model

Qwen/Qwen-7B

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Evaluation results

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