---
tags:
- generated_from_trainer
model-index:
- name: roberta-wiki-en
  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. -->

# roberta-wiki-en

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2966

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12500.0
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 1.5933        | 0.0928 | 12500  | 1.4776          |
| 1.6391        | 0.1856 | 25000  | 1.5202          |
| 1.6551        | 0.2783 | 37500  | 1.5291          |
| 1.6398        | 0.3711 | 50000  | 1.5364          |
| 1.6429        | 0.4639 | 62500  | 1.5345          |
| 1.6354        | 0.5567 | 75000  | 1.5338          |
| 1.629         | 0.6495 | 87500  | 1.5325          |
| 1.6457        | 0.7423 | 100000 | 1.5285          |
| 1.6514        | 0.8350 | 112500 | 1.5377          |
| 1.5955        | 0.9278 | 125000 | 1.5234          |
| 1.616         | 1.0206 | 137500 | 1.5196          |
| 1.5456        | 2.2268 | 150000 | 1.4437          |
| 1.5265        | 2.4124 | 162500 | 1.4288          |
| 1.514         | 2.5979 | 175000 | 1.4139          |
| 1.5114        | 2.7835 | 187500 | 1.4059          |
| 1.4989        | 2.9691 | 200000 | 1.4008          |
| 1.4962        | 3.1546 | 212500 | 1.3926          |
| 1.481         | 3.3402 | 225000 | 1.3850          |
| 1.469         | 3.5258 | 237500 | 1.3777          |
| 1.4654        | 3.7113 | 250000 | 1.3689          |
| 1.463         | 3.8969 | 262500 | 1.3652          |
| 1.4546        | 4.0825 | 275000 | 1.3575          |
| 1.4436        | 4.2680 | 287500 | 1.3489          |
| 1.4312        | 4.4536 | 300000 | 1.3441          |
| 1.4312        | 4.6392 | 312500 | 1.3359          |
| 1.4204        | 4.8247 | 325000 | 1.3272          |
| 1.4138        | 5.0103 | 337500 | 1.3228          |
| 1.4096        | 5.1959 | 350000 | 1.3168          |
| 1.4162        | 5.3814 | 362500 | 1.3108          |
| 1.4005        | 5.5670 | 375000 | 1.3048          |
| 1.3965        | 5.7526 | 387500 | 1.2997          |
| 1.3802        | 5.9381 | 400000 | 1.2966          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1