lemonhat/Qwen2.5-1.5B-Instruct-combined_airline_retail_data

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combinedairlineretail_data

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

• —Loss: 0.2036

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-06
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 4
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.6.0+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3