metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned
results: []
gpt2-finetuned
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4615
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0016 | 0.2 | 500 | 0.5535 |
| 0.5665 | 0.4 | 1000 | 0.5245 |
| 0.545 | 0.6 | 1500 | 0.5085 |
| 0.528 | 0.8 | 2000 | 0.4968 |
| 0.5181 | 1.0 | 2500 | 0.4889 |
| 0.4931 | 1.2 | 3000 | 0.4844 |
| 0.4961 | 1.39 | 3500 | 0.4779 |
| 0.4886 | 1.59 | 4000 | 0.4754 |
| 0.4815 | 1.79 | 4500 | 0.4704 |
| 0.4794 | 1.99 | 5000 | 0.4687 |
| 0.4672 | 2.19 | 5500 | 0.4665 |
| 0.4642 | 2.39 | 6000 | 0.4650 |
| 0.4628 | 2.59 | 6500 | 0.4637 |
| 0.462 | 2.79 | 7000 | 0.4625 |
| 0.4595 | 2.99 | 7500 | 0.4615 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0