---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gptneo-TxtToJson-v0.1.16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gptneo-TxtToJson-v0.1.16

This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co./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