MHGanainy/mgpt-lora-multi-switzerland-balanced-1024

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mgpt-lora-multi-switzerland-balanced-1024

This model is a fine-tuned version of ai-forever/mGPT on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.8716

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: 2e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 8
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 38379
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.46.3
• —Pytorch 2.1.0a0+32f93b1
• —Datasets 3.1.0
• —Tokenizers 0.20.3