transformers tensorboard safetensors roberta fill-mask generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: rubik_roberta
  results: []
---

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# rubik_roberta

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0512

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1666        | 1.0   | 3334  | 0.1127          |
| 0.0928        | 2.0   | 6668  | 0.0649          |
| 0.0707        | 3.0   | 10002 | 0.0509          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.3.0.dev20240108
- Datasets 2.16.1
- Tokenizers 0.15.0
