metadata

license: apache-2.0
pipeline_tag: text-generation
tags:
  - multilingual
  - PyTorch
  - Transformers
  - gpt3
  - gpt2
  - Deepspeed
  - Megatron
datasets:
  - mc4
  - wikipedia

mGPT: fine-tune on message data MWE

This model is a fine-tuned version of sberbank-ai/mGPT on 80k messages. Trained for one epoch, will be updated in a (separate) model repo later.

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1