mgpt-lora-multi-shared-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: 1.7504
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: 49957
- 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
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Model tree for MHGanainy/mgpt-lora-multi-shared-1024
Base model
ai-forever/mGPT