metadata
base_model: openai-community/gpt2-xl
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-xl-lora-multi-5
results: []
gpt2-xl-lora-multi-5
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: 2.0046
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 3042
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0