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
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 8
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_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