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distilgpt2-finetuned-AdventureTime
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2450
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: 8
- eval_batch_size: 8
- 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 | 279 | 3.3451 |
| 3.4534 | 2.0 | 558 | 3.2941 |
| 3.4534 | 3.0 | 837 | 3.2740 |
| 3.2435 | 4.0 | 1116 | 3.2617 |
| 3.2435 | 5.0 | 1395 | 3.2556 |
| 3.1729 | 6.0 | 1674 | 3.2490 |
| 3.1729 | 7.0 | 1953 | 3.2475 |
| 3.1262 | 8.0 | 2232 | 3.2467 |
| 3.0972 | 9.0 | 2511 | 3.2448 |
| 3.0972 | 10.0 | 2790 | 3.2450 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
