metadata
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_gpt2
results: []
fine_tuned_gpt2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.2984
- eval_model_preparation_time: 0.0039
- eval_runtime: 8.6785
- eval_samples_per_second: 81.005
- eval_steps_per_second: 10.14
- step: 0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0