metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: results
results: []
results
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3053
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6964 | 1.0 | 13 | 4.3285 |
| 4.7895 | 2.0 | 26 | 4.3117 |
| 4.6501 | 3.0 | 39 | 4.3053 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.4.1+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1