---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: roberta-mlm-model-v2.2
  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-mlm-model-v2.2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.9440

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 7.9435        | 0.8315 | 10000 | 9.3792          |
| 7.9344        | 1.6631 | 20000 | 9.1627          |
| 7.9276        | 2.4946 | 30000 | 9.3861          |
| 7.9307        | 3.3261 | 40000 | 8.9926          |
| 7.9237        | 4.1577 | 50000 | 8.9530          |
| 7.9321        | 4.9892 | 60000 | 8.9440          |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1