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