metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gptneo-TxtToJson-v0.1.16
results: []
gptneo-TxtToJson-v0.1.16
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: 0.1180
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 88 | 0.6397 |
| No log | 2.0 | 176 | 0.5158 |
| No log | 3.0 | 264 | 0.4083 |
| No log | 4.0 | 352 | 0.2929 |
| No log | 5.0 | 440 | 0.2384 |
| 0.3687 | 6.0 | 528 | 0.1904 |
| 0.3687 | 7.0 | 616 | 0.1638 |
| 0.3687 | 8.0 | 704 | 0.1485 |
| 0.3687 | 9.0 | 792 | 0.1405 |
| 0.3687 | 10.0 | 880 | 0.1277 |
| 0.3687 | 11.0 | 968 | 0.1232 |
| 0.0629 | 12.0 | 1056 | 0.1291 |
| 0.0629 | 13.0 | 1144 | 0.1159 |
| 0.0629 | 14.0 | 1232 | 0.1123 |
| 0.0629 | 15.0 | 1320 | 0.1160 |
| 0.0629 | 16.0 | 1408 | 0.1159 |
| 0.0629 | 17.0 | 1496 | 0.1195 |
| 0.0137 | 18.0 | 1584 | 0.1186 |
| 0.0137 | 19.0 | 1672 | 0.1179 |
| 0.0137 | 20.0 | 1760 | 0.1180 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2