---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0046

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- 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   | 230  | 0.0055          |
| No log        | 2.0   | 460  | 0.0053          |
| 0.0061        | 3.0   | 690  | 0.0053          |
| 0.0061        | 4.0   | 920  | 0.0051          |
| 0.0057        | 5.0   | 1150 | 0.0050          |
| 0.0057        | 6.0   | 1380 | 0.0050          |
| 0.0055        | 7.0   | 1610 | 0.0050          |
| 0.0055        | 8.0   | 1840 | 0.0050          |
| 0.0053        | 9.0   | 2070 | 0.0048          |
| 0.0053        | 10.0  | 2300 | 0.0048          |
| 0.0053        | 11.0  | 2530 | 0.0048          |
| 0.0053        | 12.0  | 2760 | 0.0048          |
| 0.0053        | 13.0  | 2990 | 0.0047          |
| 0.0052        | 14.0  | 3220 | 0.0047          |
| 0.0052        | 15.0  | 3450 | 0.0047          |
| 0.0051        | 16.0  | 3680 | 0.0047          |
| 0.0051        | 17.0  | 3910 | 0.0047          |
| 0.005         | 18.0  | 4140 | 0.0047          |
| 0.005         | 19.0  | 4370 | 0.0046          |
| 0.005         | 20.0  | 4600 | 0.0046          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.1