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gpt2-text-simplification_1e4_adafactor_biendata
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9089
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 464 | 0.7729 |
| 1.0489 | 2.0 | 928 | 0.7546 |
| 0.754 | 3.0 | 1392 | 0.7497 |
| 0.7034 | 4.0 | 1856 | 0.7530 |
| 0.6619 | 5.0 | 2320 | 0.7560 |
| 0.6265 | 6.0 | 2784 | 0.7639 |
| 0.5921 | 7.0 | 3248 | 0.7747 |
| 0.5621 | 8.0 | 3712 | 0.7848 |
| 0.5359 | 9.0 | 4176 | 0.7969 |
| 0.5115 | 10.0 | 4640 | 0.8113 |
| 0.4879 | 11.0 | 5104 | 0.8256 |
| 0.4683 | 12.0 | 5568 | 0.8373 |
| 0.4491 | 13.0 | 6032 | 0.8519 |
| 0.4491 | 14.0 | 6496 | 0.8642 |
| 0.4324 | 15.0 | 6960 | 0.8741 |
| 0.4176 | 16.0 | 7424 | 0.8841 |
| 0.4054 | 17.0 | 7888 | 0.8924 |
| 0.3946 | 18.0 | 8352 | 0.8994 |
| 0.3868 | 19.0 | 8816 | 0.9043 |
| 0.3813 | 20.0 | 9280 | 0.9089 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
