---
tags:
- generated_from_trainer
model-index:
- name: transformer-NLP
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# transformer-NLP

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.4503

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.8223        | 1.0   | 21   | 9.4635          |
| 9.4003        | 2.0   | 42   | 9.2399          |
| 9.1754        | 3.0   | 63   | 9.0618          |
| 8.9665        | 4.0   | 84   | 8.8478          |
| 8.8297        | 5.0   | 105  | 8.7369          |
| 8.6993        | 6.0   | 126  | 8.6474          |
| 8.6372        | 7.0   | 147  | 8.5848          |
| 8.5375        | 8.0   | 168  | 8.4988          |
| 8.5175        | 9.0   | 189  | 8.4400          |
| 8.4955        | 10.0  | 210  | 8.4503          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1