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gptneo-TxtToJson-v0.1.18
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1669
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0001 | 1.0 | 219 | 0.9411 |
| 0.7298 | 2.0 | 438 | 0.7063 |
| 0.4617 | 3.0 | 657 | 0.4989 |
| 0.3366 | 4.0 | 876 | 0.3333 |
| 0.2295 | 5.0 | 1095 | 0.2569 |
| 0.1593 | 6.0 | 1314 | 0.2146 |
| 0.1611 | 7.0 | 1533 | 0.1986 |
| 0.0983 | 8.0 | 1752 | 0.1866 |
| 0.0933 | 9.0 | 1971 | 0.1776 |
| 0.0794 | 10.0 | 2190 | 0.1742 |
| 0.0743 | 11.0 | 2409 | 0.1734 |
| 0.0459 | 12.0 | 2628 | 0.1690 |
| 0.0386 | 13.0 | 2847 | 0.1681 |
| 0.0261 | 14.0 | 3066 | 0.1673 |
| 0.0209 | 15.0 | 3285 | 0.1669 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
