metadata
library_name: peft
license: mit
base_model: openai-community/gpt2-xl
tags:
- generated_from_trainer
model-index:
- name: gpt2-xl-lora-multi-512-k5-31-im-2
results: []
gpt2-xl-lora-multi-512-k5-31-im-2
This model is a fine-tuned version of openai-community/gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3324
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 33797
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.1.0a0+32f93b1
- Datasets 3.1.0
- Tokenizers 0.20.1