---
base_model: sinonimayzer/roberta-v1
tags:
- generated_from_trainer
model-index:
- name: roberta-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-v1

This model is a fine-tuned version of [sinonimayzer/roberta-v1](https://huggingface.co/sinonimayzer/roberta-v1) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_runtime: 4.2753
- eval_samples_per_second: 106.659
- eval_steps_per_second: 106.659
- step: 0

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0