metadata
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: finetuned-gpt2-model
results: []
finetuned-gpt2-model
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2749
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 147 | 0.2728 |
| No log | 2.0 | 294 | 0.2595 |
| No log | 3.0 | 441 | 0.2591 |
| 0.3157 | 4.0 | 588 | 0.2594 |
| 0.3157 | 5.0 | 735 | 0.2644 |
| 0.3157 | 6.0 | 882 | 0.2648 |
| 0.2486 | 7.0 | 1029 | 0.2684 |
| 0.2486 | 8.0 | 1176 | 0.2746 |
| 0.2486 | 9.0 | 1323 | 0.2729 |
| 0.2486 | 10.0 | 1470 | 0.2749 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1