wit

This model is a fine-tuned version of igorktech/rugpt3-joker-150k on the baneks dataset for 10 epochs. It achieved 2.0391 overall loss during training. Model evaluation has not been performed.

Model description

The model is a fine-tuned variant of the igorktech/rugpt3-joker-150k architecture with causal language modeling head.

Intended uses & limitations

The model should be used for studying abilities of natural language models to generate jokes.

Training and evaluation data

The model is trained on a list of anecdotes pulled from a few vk communities (see baneks dataset for more details).

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Train Loss	Epoch
2.0391	10

Framework versions

Transformers 4.34.0
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.14.1

wit