metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-text-simplification_1e4_adafactor
results: []
gpt2-text-simplification_1e4_adafactor
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8713
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 0.8976 | 1.0 | 2326 | 0.8092 |
| 0.8236 | 2.0 | 4652 | 0.7974 |
| 0.7807 | 3.0 | 6978 | 0.7940 |
| 0.7428 | 4.0 | 9304 | 0.7916 |
| 0.7094 | 5.0 | 11630 | 0.7955 |
| 0.6828 | 6.0 | 13956 | 0.7996 |
| 0.6569 | 7.0 | 16282 | 0.8046 |
| 0.6365 | 8.0 | 18608 | 0.8103 |
| 0.616 | 9.0 | 20934 | 0.8175 |
| 0.6001 | 10.0 | 23260 | 0.8212 |
| 0.5819 | 11.0 | 25586 | 0.8291 |
| 0.5688 | 12.0 | 27912 | 0.8368 |
| 0.5562 | 13.0 | 30238 | 0.8378 |
| 0.5437 | 14.0 | 32564 | 0.8462 |
| 0.5299 | 15.0 | 34890 | 0.8497 |
| 0.5242 | 16.0 | 37216 | 0.8568 |
| 0.5158 | 17.0 | 39542 | 0.8643 |
| 0.5088 | 18.0 | 41868 | 0.8676 |
| 0.5027 | 19.0 | 44194 | 0.8703 |
| 0.4989 | 20.0 | 46520 | 0.8713 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3